{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1. Load Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19",
    "_uuid": "8f2839f25d086af736a60e9eeb907d3b93b6e0e5"
   },
   "outputs": [],
   "source": [
    "import numpy as np \n",
    "import pandas as pd "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-05-23</th>\n",
       "      <td>182.500000</td>\n",
       "      <td>186.910004</td>\n",
       "      <td>182.179993</td>\n",
       "      <td>186.899994</td>\n",
       "      <td>186.899994</td>\n",
       "      <td>16628100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-05-24</th>\n",
       "      <td>185.880005</td>\n",
       "      <td>186.800003</td>\n",
       "      <td>185.029999</td>\n",
       "      <td>185.929993</td>\n",
       "      <td>185.929993</td>\n",
       "      <td>12354700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-05-25</th>\n",
       "      <td>186.020004</td>\n",
       "      <td>186.330002</td>\n",
       "      <td>184.449997</td>\n",
       "      <td>184.919998</td>\n",
       "      <td>184.919998</td>\n",
       "      <td>10965100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-05-29</th>\n",
       "      <td>184.339996</td>\n",
       "      <td>186.809998</td>\n",
       "      <td>183.710007</td>\n",
       "      <td>185.740005</td>\n",
       "      <td>185.740005</td>\n",
       "      <td>16398900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-05-30</th>\n",
       "      <td>186.539993</td>\n",
       "      <td>188.000000</td>\n",
       "      <td>185.250000</td>\n",
       "      <td>187.669998</td>\n",
       "      <td>187.669998</td>\n",
       "      <td>13736900</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Open        High         Low       Close   Adj Close  \\\n",
       "Date                                                                     \n",
       "2018-05-23  182.500000  186.910004  182.179993  186.899994  186.899994   \n",
       "2018-05-24  185.880005  186.800003  185.029999  185.929993  185.929993   \n",
       "2018-05-25  186.020004  186.330002  184.449997  184.919998  184.919998   \n",
       "2018-05-29  184.339996  186.809998  183.710007  185.740005  185.740005   \n",
       "2018-05-30  186.539993  188.000000  185.250000  187.669998  187.669998   \n",
       "\n",
       "              Volume  \n",
       "Date                  \n",
       "2018-05-23  16628100  \n",
       "2018-05-24  12354700  \n",
       "2018-05-25  10965100  \n",
       "2018-05-29  16398900  \n",
       "2018-05-30  13736900  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filepath = 'data/FB.csv'\n",
    "data = pd.read_csv(filepath, index_col=0)\n",
    "data = data.sort_values('Date')\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(252, 6)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date\n",
       "2018-05-23    186.899994\n",
       "2018-05-24    185.929993\n",
       "2018-05-25    184.919998\n",
       "2018-05-29    185.740005\n",
       "2018-05-30    187.669998\n",
       "2018-05-31    191.779999\n",
       "2018-06-01    193.990005\n",
       "2018-06-04    193.279999\n",
       "2018-06-05    192.940002\n",
       "2018-06-06    191.339996\n",
       "Name: Close, dtype: float64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 获取调整后的收盘价 time series\n",
    "ts = data['Close']\n",
    "ts.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2. Visualisation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "sns.set_style(\"darkgrid\")\n",
    "plt.figure(figsize = (15,9))\n",
    "plt.plot(ts)\n",
    "plt.xticks(range(0,data.shape[0],20), data.index[::20], rotation=45)\n",
    "plt.title(\"FaceBook Stock Price\",fontsize=18, fontweight='bold')\n",
    "plt.xlabel('Date',fontsize=18)\n",
    "plt.ylabel('Close Price (USD)',fontsize=18)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3. Function for testing stationarity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "from statsmodels.tsa.stattools import adfuller\n",
    "\n",
    "def test_stationarity(timeseries):\n",
    "    \n",
    "    # Determing rolling statistics\n",
    "    rolmean = timeseries.rolling(20).mean()\n",
    "    rolstd = timeseries.rolling(20).std()\n",
    "\n",
    "    # Plot rolling statistics\n",
    "    orig = plt.plot(timeseries, color='blue',label='Original')\n",
    "    mean = plt.plot(rolmean, color='red', label='Rolling Mean')\n",
    "    std = plt.plot(rolstd, color='black', label = 'Rolling Std')\n",
    "    plt.legend(loc='best')\n",
    "    plt.title('Rolling Mean & Standard Deviation')\n",
    "    plt.xticks(range(0,ts.shape[0],20), data.index[::20], rotation=45)\n",
    "    plt.show(block=False)\n",
    "    \n",
    "    # Perform Dickey-Fuller test\n",
    "    print('Results of Dickey-Fuller Test:')\n",
    "    dftest = adfuller(timeseries, autolag='AIC')\n",
    "    dfoutput = pd.Series(dftest[0:4], index=['adf','pvalue','usedlag', 'nobs'])\n",
    "    for key, value in dftest[4].items():\n",
    "        dfoutput['Critical Value (%s)'%key] = value\n",
    "    print(dfoutput)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Results of Dickey-Fuller Test:\n",
      "adf                      -1.629497\n",
      "pvalue                    0.467754\n",
      "usedlag                   0.000000\n",
      "nobs                    251.000000\n",
      "Critical Value (1%)      -3.456674\n",
      "Critical Value (5%)      -2.873125\n",
      "Critical Value (10%)     -2.572944\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "test_stationarity(ts)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "所以，adf > CV(1%) 不能拒绝原假设，即原序列存在单位根。那么一阶差分再进行ADF检验。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##  一阶差分"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ePx92hqzuGBoayuTJk/n8888BOHbsGLVr1wagcePG7Ny5k+eff94xrXwCuHTpIufPn8PFxQWTyYSzswvOzs74+vri6elFZGQkv/22iqSkJNLSzAQFFaV48ZJIkoQkcfun+s/JyYSvry++vn6A6+M+NMEDMJuheXNXBg9OpUeP3MmFaNUvmn9BOmazKub25yg/kWVRb9GiBVeuXLH9X1EUJEk9GW5ubsTHxz/Qhl4v4e2dddHR63XZ2j8v2W/SpBPHjh3NdDt/f39SUlIe6pzeSbly5ShXrjxvvNGJ1157LVvtzYz8/h3kho8H2Y+JUSPnhAQnvL2NDrefGbKcHoW6uLjg7e14H49CXrJvMGg/TXh7O+WIj5wky6J+JzpdeiYnMTERT0/PB+5jtSrExGT9ndPb2zVb++cl+zdv3uCFF16me/cepKamkJKSQlJSElFRUZw4cQyr1UqfPn0pVqw4BoOBCxfOc/36NRRFARQURbn9OyQnpxAdHUV4+E2OHz/C1q1bCQsLo1mzF3P0GHKCnLafGz4eZP/mTQlwJybGQkxMqsPtZ0ZcnDNa9jUqKoWYmPv3gT3uc5Sb9qOiDIALMTFmYmIe/s0pN65VDX9/j3v+zWGiXrFiRfbu3UudOnXYvn07devWdZTpJ4KEhARKlizFM880eajty5evQPnyFR64nbe3K+3bd+Do0f+y20RBDnG7WypD52VOY5+/Fzn1jGjfR+qjP1/zBA4raRwwYACTJ0/m9ddfJy0tjRYtWjjKdIHHYrGQkpKCu7t7jtj38PAgISEhR2wLsk9qqpbDzb2OOXtfIqeekXRRf8I6SgGCg4NZsmQJACVKlGDBggUOadSTRmKiKrg5Jepubu5C1PMwWodcbnbM2fsSJY0Z0cT8iY/UBVlHE1x393vnybKDh4cHiYkJYuxAHiVd1HM3Und1VftgRPolI5qY59c3GCHqeYB0Ub93pH7zpkT//qYsXWjaw0J7IxDkLbTIMHfr1MHdXRV1MaI0I9rDVSttzG8IUc8DJCSopYpubm733GbbNj3z5ztx+vSjf2XawyIrJZGCnEeLDHMzUk9OlvD0FKKeGVrglF/r1IWo5wEeJv0SH5/1AREeHh4Z/AjyFtroztzOqWtVxyKnnpH09Ev+PC9C1PMAiYmJwP3TLwkJWa+QSI/U47LQOkFO8zhKGpOTJVv6ReTUM5KefnnMDckiQtTzAOnpl3uLupY5yVqk7nnbj4jU8yKPI/2iRuoi/ZIZmpiL6hdBlnmU9Iv9REwPi/awEKKeN9HEPLfSL1armnIRop45+b1OXYh6HkAT2/t1lGrpl6y8oov0S95GE/N7PbCnTDEyYcLDz0HyILRr6HZXi8ip34H2kBWR+hPKzZvZn0w/MTEenU6Hq+u9JwNKT788+g2opV9ESWPeRIsIk5PJ9FrasMHA2rUOm9HD9vAQJY2Zo6VfRE79CSQyUuKpp9z56qvsRVEJCQm4ubnbZrnMfJusv6I/SSWNViuMHu3E+fP5J/rUIkJZljIV2JQUyZZ+cwTaNaSlXwpCR+n58xKHDztGzrSHbHaqX2RZfcOKjXVIkx4JIerZICZG/fnjj6Zs2UlMTHzgFAHZyambTCaMRmO+y6lfuiQxefKjHe+RIzq+/97E2rWPPoXt48L+7Suzh3ZyMsTFOVLUVVtaSWN+Ld2zZ8QIEx995OwQW46YtuH0aR3Dhzuzbp3j3rAeFiHq2cBeYE+ezPqpTEhIeARRf3T7kiTh7u5uq7LJLyxbZuTTT3W2h2dmHDigy7BCza5d6hJk+emlxF48Mntoq5G6mppRHLBwpubPwyPnI/WLFyXKl3fj2LGclZqrV3VERTnm4ZSefsm6vdhYdV9HtelRyP3HSAHC/mZcvtzA4MFZS8IlJMTfs5N0/nwjRqOSrZw6qJU1+S39EhOTfmN4e2cuZp07u9Cxo4Vhw9Qcxu7dhgz7OoL4eFi71sDrr1u4T4Ysy9h3yNk/tP/7T8JgOMGNGz+iKEepVy+esLALVKhQiUKFCmE0GtHrDchyGhcuXKRYseI89VQV2rXrSOnSZe7pLylJPQhFiQRcSEvLmTmHAE6c0BMVpWPVKgOVKuVckvrmTcelqNLTL1m3od1q0dFC1HONtDQYN86J3r3T8PNTBePECR2vvurCpk1JBAU9OCKyF9gzZzJGInPnGmnWzEJIyIPtqJF65jfWvHlGDIbs5dRBFfX8ln6xj3ZKlsz8PMbHS8TdLuqxWrEtFuzIdMXvvxv4+GMX6tRJoESJ+3+fp07pmDbNyNdfp6J/yHWLk5NlYDhwga++0hEQ4MS1a3H88cdGQBVeaEyhQkHExLyMm9thYmNjsFisWCwWTCYnSpYszaVLF9i0aQNLly5mz56DGI2Zp6C0a2j8+DbAf6xY8SKFCj2Lv78/BoOR5cuXcOLEMRRFIS4ujvj4OFxcXPD09MLJyYmUlBTMZjOBgYUJDS2Gj48ver0Oo9GIp6cXFSpUonHjZ/Dy8ubWLfV7WL8+60HPg7BY1HVFZVnCYklfuSirOGI+de0BI0Q9G4SHS0yZ4sQXX6Ti9BD9lseO6Zg82UTZsjKvv66+f544oePWLR1nzugICrI+0Ib2pXt6Kly/ni7q8fHw+efO9O+fyuefP/hCTkhIIDQ0NNO/xcZKJCWlv5ZnJacO5Mv0i9bJdK9XWEVRX5G1h+uJEzrbg0D76Qi0G1S1eX9R37xZz4IFTnz8sZlixR4uVXLy5I/ACCCYnTvTkOVUwAi8QLt2dVi79lWSk4No2DCVfftM9OqVzIsvpudM7Ffc2bDhTzp37sCyZYtp2bKVrfLJHlXUb3H27AEkqRY3bx5k4MDfbH/39PSiceNn0el0eHl54e7ugaJYCA+PxGw24+LigtFo5Pr1axw/fpTY2Fhk2YrZnJZhIN3QoSOJi+sNqBH7lSsSwcHZTx/dSWSkZFueLz4efHyyZy996t2sX0NaUCFEPRv89puBKVOceP55Cw0aPFiQNaGwv/m1V/aHfXXXBLZkSZnr1++2ExFxfztms5q20apfMiMuTsrQnqxH6u7ExERnbefHxIPykneO/Dt48BowG0maz86dXrRq5UNaWhoWiwWDwUDfvv1p0KARFy6c4+zZMyQkJPDaax0yrCu5Y8d2+vf/mFu3btG9+3sMGPAliYmq/4eJ/rUHQGSk9EBRnznzf0ycOI7o6DjgFWA1c+cmU7eulW3b9LRv70q1aimsWKF2xF+8qAYOYWH3bsdzz7WgcuUqfPxxbz799COWLFlFw4aNM2yjPgR3AuDsPJFOnerQq9c54uLiSExMoFy58nh6emXY52GXaktNTeXQoYMMHTqQb76ZQJs2HyBJCooisWmTgbfffvj6ySVLDBw/rmf48PuHzDdupJ+PuDgJH5/sPTgcMfWueq2kERmZTFJSxo4wnU6Hs7NjOnUzo8CIujZ74dGjuocS9cjIuwVcE5GHfbpqAluypMzhwwbS0sBofHhRX7cOevVywcMjMdP0iyxjSy1oZHV+EA8PT65cuZy1nR8TDxL12NgkYBo7d26gbt1zXLx4EVBwd38ZWQaDIRZnZ2cMBgOXLl3kzTdfv8vGjz9+R4kSxQkMDMLDw4N582YTGlqMOnXq8s03X3P69GmcnT8C4OLFEBo3LnzfNmuirqUd7mTtWgPJySs4cmQv//vfj9SsWZtLl8oQETEBRZFs0+9qduLi0qPQdFHPmOqLi4P333dmxIhUCheGiRO/Y8WKpWzcuJ4PPujB0KEjad78BVvUrl5D2zEanXB2rsmlS3qmTCnN8OEP95Z7P0wmE3Xq1OXll1szatQwrl+PJyTEh+joRy8mWLnSyD//PLqoP+ht6kFkJ/0SExPN339v548/DgE/smdPKsWL373d999P4Y03umSjlfemwIi6ltM+elQPPDga0G46++jrUSN1NeJRCAqKRVFS2bfvJp6eyWzdGgns5PjxUhw6VB6dTock6TCZTJQqVRr97WSrVkudmJh5R2liYsZV3yF76Ze80FEqy2opqK/vg7e9n6hfuHCetm1bAWEkJ1emUaOqlCjRgU2belC/fjCHDulYsSLRtn1qaiqzZk3HbE6lVKkylCpVmps3bzB27EgSEhLYv/83UlNTaNasOd9+Oxlvbx8mT/6WiRPHkZKyGoD+/WH27Mp8+ukAXnmlNaBWo0RHRxEbG4vBYODcuSvAf2zcGETRoiXx9fVFUfw4duw0GzfuY8yYCGAMALVr12Xx4pV06OCPxSIRFZXeT6N1f9gf+4UL6jV++XLG87FtmyqAL75ooU0bCzVq1KRGjZp06PAGrVu/RK9e7/L008/w1VdrqVlTvn0N/c1TT9Xk6lVn1q9X7bZsaaF+/QcHRA+D1lF75cpp/P1r4+mpcOnSo4l6WJhEXJxEQgLcrzjsxo10u1rf06Ny5IgOb2+FkBDFlnaRZYnvv3fCaFTo3fvBmhIdHU3Lls05ffrU7U864e5ehX79Mob8S5f+ynffTeT11zuh0zm+KqjAiPqpU+rJedjSKe1msRdw7fcHReq//mpg2TI9vr7TgKH8+GMMAG3b2m+l4+JFmebNM+4bEBBIcHAwZnMacXFFgUnIcgqyfHeknlleOKvpFw8PD2JjY/jll58pWrQKxYp5o9dL+PkVuu9I1gehKLB6tYF9+/SMGJH6wE6q1asN9OvnzJEjCbZh6vakpqai1+vR6XSEh48FfmXZsqJs3RqOn58fFSpUIiQklNmzp5OYGA9spXLlBkyfnsyPPxrZtMmZoCAz27dn7KU0mUz07v1hhs8qVqxEkybN8PZ2JSIiFqvVmuG1+KOPPuG11zrw0Ucn+Ptvb1588V8uXpxH9+5vUrp0GaKibpGSkkpSUiJ3Mneu+i8zKlduy19/zcRgMCBJEqmp4OXFbVFXt9HEyV7UtevyTnE8ciTz67ZKlWocOXKKWbOmM3r0CN57bwM//ujEokWLgX+oX/9zVq1K337/fr3DRL1MmbIAhIefoWLFWhiNyiOtBWCxWLl4cRMQxtq1RQkOVvDy8sZkMqEoCrIsI8syOp2Oa9cq2/a78832YXn/fWc8PODPP5NITQWd7gayfILp088AJ7h+3Uz79h3x9PRi9Wrw8LjGvn2zWb/+T9zc3LBarSQlJWKxWJgzZyHLltVj7doSpKUp9OmTkKFqKiQkhB49urJ+/Z+88MJLWWvwfSgQoh4dDREROtzcFE6d0mE288DXSC1Sz5hT135qJV8Ke/ZcYs6coxQqtJ1nnnmWChUqsWbNZXbsmICibAGa0q1bM2bP9ue994zUr+/Evn0+TJ3aGBeXM8yYcZrjxyWmTtUxcGAEe/ZsJDY2FqPRyKlTewD1grx2zfuuNt4p6n5+cpZLGoODQ0hOTqZv3w8yfO7h4cnrr7+Bv38A3bv3uCuX+iAmTZL44gsXIIKKFXcBVyhVqjQBAYEcOnSAgwcPcOzYEZKSEgkNLUZMTHWSknzZvr0ioaFG3Nzc8Pf3Z+3a35g4cTxhYRcBMBgMWCwWoC7x8TcoV86fiIgIdu78H2azGVdXV775Zjk9ez5DSooqRImJEpKkEBiokJysiqXpIceFGY3GTKtFihYNxsenNGCkcuUGzJjRjW++Gc+xY0dp2LAxJpOJokWD8fb2QZZlZs705+jRJrRrd4EWLY4TGxuLJFnR6024uzfm3XdlXnutFEZj+tKCKSnYSja1N7HMRF0jLEyHomATiqNH1Z+ZBSPu7h68914fxoyZzdWrbWnbFvR6E/AxH374Mb//nr7tgQNZjxoPH9bRr58zy5Yl4esLxYoVR6/XExNzCj8/BV9fhY0bdcgy3C843bt3Dx9++D5Xrly+/f3Dhx/ee3sAH5+qgAQco2dPT6pVq4jJZMLHx5dr15K4di2SypUL0aTJ87Rv3xEXF5cM+yuKWueenCyxf78Os/kYUBtIJiICJMmZuXMVpk2bkmE/Z2dnXnutA5Ikodcb8PBwpUmT5jRq9AyLF6vBQWqqRHIy2MdNLVu2pkSJkuzdu1uI+r04fVqNyl56ycLSpUZOn9ZRufLd63H272+iaFGFfv3Mdjl1GDrURHKyfU4dzGYzbdq8zh9//AGAXq9nxoypdtY8aNbsJzZt6kX//onMnu1OaGgKL7+cxsWLRsCZ5ORqNGpUimPHnIiONlGtWiJdu3a2WahXL4bU1P9x5YqOChXa3dXeOzvm/P2VLEfqPXr05qWXXmHBAvj222M0bx7Diy+msWHDX8yZMxOr1cqVK5eZNOkHbt26xYkTx0hNTSEhIYGTJ09w9Oh/RESE4+vrR7t2r+PnVwir1cLcuUeA1cBB+vW726+zszMVK1bC09OL3bt3cfPmCgC6dr1725o1a9Oxo/pKGhWVxPTpNYBOVKpkZfFitTPBYrEQFRWFm5sbV6+qob52ThITJVxd0wUyNlYiICDr+dVp04z4+yu2uu64OAknJycGDhxyz31++cUF9bbyYt26arRrl0b79iZiYpLYulUPuGKxpALpr+QpKRJFi8oZjkXLlGUm6omJEtHR6Smse0XqGpcuuaAoy5CkrcydW4y9e5sxbZof3t4JGI3p5+fff/UZHhaPwk8/OXH0qJ7jx/U0bGjFycmJ4sVLcP78KQoVkilSJIXUVD0bNuzHxSWBcuWe5bnn3Jg1K5natWUSEhIYP34sP/zwDcHBIbRt25elS2sD1end+xTNminExERjsViQJOl2SlPi1q1bDBv2E0ajO2lp/QgJiWT37hOUK5fE2bNniI52ISEhCL3+BGvX/s5PP33P9OlzqFq1uq3t8fHpD9Mff3QCZgFW4A+gPG5uwezbd5nNmzeQkiLTv787Var48euv5fD397fZse9Mtq+Zj45OXw8W1IBlw4ZtuLhk/Q35fhQIUdfy6a++msbSpUaOH79b1FNSYNEio03U7atf/v5bT1KShIuLeuL37n2Nxo2Pc/78ORo0GMzOnS1Yv74i169vIiIigmnTinHyZCOCglxwcgI/PwVnZ4Vr13Q2mxoREZItB3r9uo7q1dV2KQpcuxZM27bD+OUXJ9zcUrizL+DOeSP8/R89L6khSRIhIaHs3OkCVCIw0Eznzql07vwWiqIwbNhgpk37iWPHjnDw4IEMIxd1Oh2lS5ehaNFgTp48Qc+e3e0to9fXx2ody9Ch1Rg5sgw1a+6hefMooqNr0b17OUJDDbePWeGTT2QWLoxj0KBdlC0rk5AQz61bt/D19aV9+46cOGGkQgWZsDCJ6dPVRKq9WBkMBgICAoC75yFPTAQ3NwUvL7XtcXFwe9P7Mn++RNGiOp5+Ov2asVphwgQTNWpYbVUQmtAmJamRnbe3gr9/xoeGdjOfOKHj2DE9kgTt23O7fZkPaklNxVaxoXWEa3buFPVChWQiI3WEhenw9ZVJToYzZ9S/3asv6MABPVAbRalN3brx7NplwtlZFW/7l5ObN3VcuyZRtOijPQgjIiTbhGPXrqW3oXjxMpw7t5XZs0NJTAwH4M031b8FBZXn5s0Uunf3IjTUmRMnjpGQkMCrr7Zj3LhJbNrkz9KlakTt4RFCo0ZmrlxRH9J3voXPm/ch/v4KW7caMBqtyLKeXr2S6djRwmuvufD33wb++MPCf/+to2/fD3jnnc5s3boLLy9v23GDeu1s3qwAv+Dp2ZK4uBcAtX/D07MQHTq8cbsfzB2w4u9/72qguDjJVvUTFaWe08hIiSFDTIwdm4K396O9ET8KBULUjxzR4eqq2PKBd1YHABw+rMdslrhwQSIyUuLWLXWbmBh1EqXERAk/PwAFSSpPcHACn376KSdPdmPnThMpKYk0b/4iANOnuwJ6bt1Kw2RSb44iRRRbWeOdoq61R+ul/+YbJ86cUV/3tLI3+e4XC5udIkVkrl/X4e+vcPJk1s/TtWsS+/YZbO0CNY+7caORzz4byLZtm1EUhf79B1KnTj1cXV1xdnbh33/LUr26C1WqyFgsFg4e/Ber1YpOp6dLl8qULVuIffsM+PikAM4oSnFu3bIybZoTs2Yp7NiRSPHiCpIkkZzsBnhTuXIhnn/eelf7mjZ14+23zXTpknb72JV7VpLcuZZkYqKEmxs2Ub+zrjyzKDQpCXr1knjhBSdmzUp/DTpxQnd7YJOE9XYzY2MlZs0yMm6cidhYdT7yo0cTcHZW+3Q8PRVb2uT48bv7eLTOz7tFXbK1Ob2jNHNRr1FDZv16VdSrVZM5fVpn60zXRP3CBYljx/S0bKmmL+zTKtHREikp2AKYctbjFOEmZwrVxTnyKgf3F6Vo0czO9r1Ztsxgm77XfrxG4cJlgD/w8nqKLl3eZ9o0eOONolSrlsRPP60CimIwxODsnEyHDq/z2msdqVWrDpB+D3t4KFy7ps6EWqOGO+XLW9m+PV1Mo6Ph7FkdjRqlsXNnet7+znvu7FmJZ55pwqxZ83n55eepVasKHh6ePPdcc27eNAKJODlFk5h4EwinSJE3M+Tno6MlAgMV2wPgQcP/4+MlChdWNUELSnbv1rN8uZHnnrPw2ms5NzdDvhd1RYG//jLQuLEFFxcIDJS5cuXuE75vX3rH2f79OptQREVJtjkerl8HkDAax7FsWSLe3q707Kne0fapEO1LunVLwtlZvTmKFJFtUYq9qEdGSly+nPEC+/13w+0qHSheXFVze1FPSID+/Z0JCVE/LFdO5sYNCT8/hZQUiZs31aXI7jP9eqbs3av69PeXiYhQ2zR/vhNjxpg4fNiLbdv23LXPgQM6PvvMjddfT2Py5BQMBoPtxktIgJgYDypUMLNvX3pVxpUrEn5+qn2zWT3+4sXV86hFoJlVKWh/W7jQaBOkUqVg924pU0HWvrf0SF09L9rsg/bfw4kTOl57zYWhQ1Pp2DH9hjpwQE9amsT58xkDAe1cxcRIthxwbKzE0KEmqlSRadDAwg8/mDh4UE+9ela6d3fmqadk2zEoiiYmOlJSZFv77NutkZKi5lydnBRbpK49ALTUj0b16lbWrzdw7pzaKO3hUbSobBOaoUOd2bJFz+XLagfdgQN6TCa1qiMqSiI5WcLZpOD+cW9WnFqgGo5Uf5wZ+xxSwxkoaoTzUJw9q8PfXyYtTcoQqdeq1Z6FCxMYOfIrXnzRgxkz3ClSxEzXrmZ27epDWJiRUqUstwcMOlO5crpYh4VJ+PvLt4UxfV6Xkyf1bNyo57nn1Otp8WIjqakSHTqksXSpwRaspYu6+vPMGYlatWDIkMa8+uocFGUtcXGx/PrrAiTJBHgjSZ6AD9CVRj5FieYm5TlJLF5ER5chMDA9cHuwqEOZMmowpumF9nP/fn2Oinq+n9Dr0CEd167pePll9SQFBys2EbVn3z49ISEyBoPCnj0GYmIkTCYlww1mH/Fo2Qf7fCqoDxF7Udf6XIoWVbhyJT36DwhQb+SbN3W2h4wWxWR8RdVEPf2z//7Ts2KFkZUr1Xfjhg2tlCol4+qq5tRbtXJl3LiMPYDR0dgiyjvRjkUriatVy2qL1LXaYftaX/v9hgxRO3wym0JUSzeVL68eg3beb97UceqUjtBQ9XP7/KIW/WQ2T4cmaBaLZDvfpUopWK1SplUNdw4+0tIv3t6aL9VGZKRE69auREbq2LUrYxyjTQB24YIuw1zmWhAQF4etdvz8eR1paRLt26fRp48ZSVJs+9+4oePqVYk7Z2KwWiWOH1d/1x5k9pG6oqgPJZNJwdn57khdQ8vJFismU6KEzKFDmqjrcXFRqF7dSkyMek1u2qS+lcbFqQ68Lh6hfnlVtaOi1Ei9pbwGl18XsLRwb9qwkj+rf8441xEUu/g3Ps81wmXKZFy/m4jT2t+QHrC4SmSkRKFCyu03yvR2+/rWAGZRrJgXRqN6b2q19idOqD8vXtQxYIAzn36a8Z4NC9MRGqoQFKRG6jdvptudMsXJdu7mzXOiZk0rlSvLGaqpLl9WvwvtOjt7Vh11/s8/evbu7cxPP81gwYIlhIWFM3DgDeAiI0fuBbbRkrbM2FObmxRmG89yiOqU+aQd0q1btvskKSl9TMGdKIp67YWGqt/ZnaL+778POX9EFsn3or52rQG9XqF5c1XUQ0Jkm7hqKAr884+ORo0sVKkis2GDelJLlLg75xEUJKNLTcb6zyGIirJ9cVrUl5ycPnz41i2dGqknJFDP5SDKtRukpqrbliql2j56VGf3aqpeCFFRavtCuUTdyV1ZTSsCbh61tUHzFRamw91doU8fM3//nYSzs7pKzYULOlukBqrwPP20O/PmZT7XR69ezrz3njMXLugICpIJCVFsHcWaqNvfNBqrVxv45x89RqNiE8ibNyXat3fh5k2Jq1fVzzRRt39DunRJx1NPadF5uk3NTmYl8/ZRqdZPUro0t8/13e1LF3UJWb5X+kWtzNBSE3fOSKjNFZOUJNluWEVJ/zwmRrIJrPYQK1pUxtsbKlaU2b1bj8WiHteVKzosFgk/P/V8FCok3/avCUHGdtv/7uwMzs6KXUfp3Z3koPbfVK9u5fBhtX3Hj+uoVEn9PDpaYtUqAwGWa7zGMszrtuJTvyY7E6uz8Fx9grlMVJSEU9wthkZ+jKVCRaaUmshq2rDz5ZGsqDSYXk9tA70e9+GDcRszEq+unfGrWArdwAEYt2/FuHWzLd8lxcagP36M4he386L0Jy1dNtHgyHQ8eryDadFCIiN1tjYDFC4sEx6uPlTOndNhNCpcvSpx7JiOyMiM38u1azqKFpVtqUdtJs6gINkWPBw/rt4HnTurqTpt1klQ7x37a/rMGdWPE6n0DfsU/Qutcfnfj5CUxM0bEu2NK3lx13D68i2T+JTrXmX5hEm0ZQUDGEehQ1vwbVSbd79/mvOUYDd1cR4+FF3YJe4kNVW9T7Wgxj4IBFUTcnKR8Xyfftm82UDdulbbfA/BwTLr1hkylE5FRUlERemoWFHG11exzX9eooTMyZMZn5rFi1nZfa08RVpeRvHxoa/xed4nngtnRgDl76hrh4YBp/Gr8yz9IsL5ACMxvTryxoWydE2cwj+G6uzb2JIviCLQcAv3I3Drn67AU/R/L5z+617FffMpXiaZv4+WA4YCGaNiLy/FdhxaqgcyRtbbtxtISJAyrdG/cgVWrTLg6qqmcUqUkG0VHXFx6qszaJ1F6aF+Sgp89ZWJSpWsBAWlv3auX29g2zYDu3frbWIXGirj7q7c9TCtWlVm7dqMAqXtYx+JbtyoZ9s2A888k664mzapl2apUortOyxZUuGbb5xYu9bAxo1JGebmSElRI/WQkLvTL5oI+PvLGVIyZrP6KlypksKxY2oKpkgRK8nJ6luVj48qlHc+gLTJ3urVs/LLL0bbA1J7yBUvrnDrFjRtamXtWon//lPHMGSWftHeMpydFVxc7i5p1FA7yaFQIYWqVa2sWGHk5k2J48d1tGqldg7HxEis/V3PYl6nITvhYzCHlOBzxjMybTRnKMO17+rTPDwGX0s48d/OQzdBDQR8fRWKF5f5a1ctovb+y6Qvk5g815dj83dQeO18nL+ZhPc3kwBQXFywVHoKw6EDSBYLGQv9QIl2w7R6JYEvuyJJb1KokGLzERamzq1ktUo884yFzZvV7/nWrYyds3Fx6rUfFKR+B1qEX62alY0bDRkevI0aqdeN9r2DGkBpKZhChWTOnJE4vzeKDXSiMX9z40I5/IZ+gcuP3/OxpRhl0/ahLNLxLaoQT3t2Nd+ubmWzV6VXPdqd/ZqwQwbO4k4Il/GfPxlp/g+YW7xEWu266AJ80T9dlzj3Mrf9Kri5pfcJaeJusUgcPqynbl3HjAm4E4eKuizLDB8+nFOnTuHk5MSoUaMoVqyYI11kIDVVjTR7904PfYKD1ZRKeLjaUQHpUwL4+ys0a2axiXpmM/8VL6Hw4e7JfNg1mganf+apfdtRsNB8VkNWbOnLydb9cQM8iMegWJh24QXwlPn30znsm7SX9zbM59PUJM7416X+rR20uLIOgGTZFX10GkrXeZzBh9IzzgEQPX8xYW+NpvDNI7Y22D847C9U++ki7EV9yxb14tYufHvmzlWHmSckqKmqru2jabNrFFd4ivMLi1HcXJTTlLsrUt+40cDlyzoWLUpixQqjbXDX/v2qr7AwHUlJoNMpFC6sCql9Wgmwi9Tt0y8ZRSstDTp1Uku7atdOv8j/+UePwaCgzXOmnZO//jJw5Iie//7TZYh4U1NVm25u6nlyclJsD8crVyQMBoVy5eQMlTRhYepkYO3byzZRb9DAahPWoCCZ6Gj1eLVKBsBWfli3rpWZM53YuVPdRvt7sWIy//6rp0IZM9fLJ3PgX23hbyjPCXTJRQB1H82XyaR2XqZXv2T8HgMCZFxIpdS+JViKPwOUZMMGNYdctUIKJbfPornld5TdBhqykzEMomkXf3izI1+3KMLTA57j+lc/0yF2A6EJJxlTfi69atS0Vb9oor5smYFUxYnLZg+ScOKYb0PcJtdH/0lfEsOuI1nScNrwF4YD+zn+3Ae4NX2aj0cGUbuxAX/PFMYsKseOQ64EdmlN678+onzR1jg7p0fshw5JnDqlozRn+Mx3E2+yh0b8jZykw2lEa9I+/gjF24eEBAkPd4V6SZsYxCEubO8IlKRuhWiOrksm7r8E4n+/QSc/M6E+VUF2w9PdSkVOMc5lBJHJbqQuepFWmGjrf5wjJ53oNvUHPAlndOUFzEx4g4PzN+Ay43+w+QI/FB1L+z09eTY0nJLKOWpVaapW6t7mhGcd4ub9Qr9XXDh4S01v/fbjaZqenIZp8S+Y/lAL/r19fLg0bQvlceLNGe/yXsppkhb44Ob0MvG3RlO4sJ4bN3QcOaLLH6K+ceNGzGYzixcv5tChQ4wbN46pU6c+eMcscvy4+tSrUiU9jaJ1Ll6+fLeoFyqk2CI/SE+/ODkpeHsrhIfrKF5cYQytWTMHqld/G7mizNXDUSwr2pcOZydw69vZ9EbBlyjCCcDdmkzs4rUY/KrRe9I7JA4dz6yhN2jeMRRPXQJzvk8hkkJ80Fdi1TdX2BzQnXMJJky936RImwakVa3DIdbS9uYGtKkm7EVdSyUAGWpdIyN1pKWp04xu2aJ+jXeWOyqKWq4XEqK+spa2nmLIjq6EXtnDHIBhcApYz/McPvgR8IxtXy3nXqmSzMaNii3C3b9fd9uX2sEcFKSWxamintF/2bIyzs5Khv4ITay03PPy5emXoHbcTz9t5d9/9RgsKRS5cQwDVYmOVgdxHDmi+vjjD4OtPwLUXLTWUSpJanu0Nl+5oiOoiEyn2KlsjKkFVLp9jKqtmjUVTCbF1lmqpUkKF1Y4dkz9vVAhhYgItWNceyvUXq/vfEOqWtVK9KqdDPqxA8NjIzhLKfTTP6DhUScW0IeUta5cfaoqGz3bUvPXXqr9lMu8qezg4tHCINfPEKk3YyNvhe9nAOsoNuhvQnU6IvDhzPAaDKM+3X9aivul45ylFMHyFS4G1OLL8FFMqGqmXKraRqlSeUb7TeLgSxb+228lMMRIL5JtdeqaqCuKGuFqD7/z53XUri1D9RokhyRhsYBzs+b89puB7t1d6BFqZk2CE2UrpuIRInNpkQvXYxJw+2osPi2a8J31Q7xbHEN36xbjEz1YH12L2j/E0IuVsAwiKMR2GuNCMqWnfovyy2zi+w2kQ3IAA1ZNIfT6P7QELL8PZaBUlOBvrjAEGZ6H0bfPj1zVAwx6liVYkZHBYiQJIwEr5/ImwAl1uwMpNZhb51cKt6rBxcE6zhZpgNOoBnTo4ELp0jJvmFKI8S/Nn+FlaeZ5O8UkKZhM6R2jN27oKFdO5sgRPVd1ISR+OZzEL4cjxUTjFX0T/QstqNztWfYg4xTpzNagNpiirtP0x+/4yfQH8SZfinGU3/7+Ht67e2yKI3CoqP/77780atQIgGrVqnH06NH7bq/XSxlmyHtUtM6i+vWd8PZWO08qVFD/duSICyVKKJQunf7aW7KkCW9vWLvWyuDBOho1UsOUoCAoVEgiPBwqVkzPS1+/Dl5eOiLx52PfBegvf8JIeSgyOi4TQltWMrLWGkY3qkd5WX04nLvszklrWd4qItO3rw+b9unQX4XKlRW+oRRf1N3ML+d1xI+3onPV4WOVOUxV3k6cT5o5AQICMowa9fPT286Rr++dVROuJCXdFq0ghStXJNzcXG3R19mz6soz332n8M9ni1mQ1hHLTWdOj13Km4NCqFUqCs9zB/lY/yPNN72C5bc5KLcLibXURvHiLgQEqKkaq9WVM2fUCPPaNSNWK4SGgrdBpobpBKeoCJKEv7+amqoYkEhTl8OkpdbB29uVhASoL+9gFF9SfmUYfslPI++rwwtU5iDViYsLoChXmDZMoV+rC/zEB5Rsd5Tr+LH16CLOV2yCxaIO5PjzTyc++CD9IWc0upCYCL6+Bry99TzrfZgyh87gs98Ty8VKjGYKXY6MoztG9DNGIPfsRVKSel6LFtVRsiSEhRnx9tbfroKCYsXSxbpi4WgMEQeJK1IVHx911E+Z2+tQnDuXXjgdxFXe2/IpQ6RlULgMx1t9TPzPayj95Sf0BDbRlKTg8pSP3sP7Nz/n4t7yfMAl3h75CXqrmhu2PFuJ7kk9qCL9xz6lNt/RF9f9yVh1BqzffA+3brF92g1qhv/BcDZgMVVg58BVNBzXCncSWPg9KG/oSEx0wmzWOlhNFCokER9vJMlixMNDwdvbFVdX7Xs22TqYIyKcSUjQ3b4HTHh7O6HX6xg82I1//5VYt07mk090t+8z9WILDjZStqzqKz7eBZfGjdguPUPz6z+jOJdAadSI5H+jaXdrKc5n0vjKOJwB+9tRvG4FnEzqTKRHfj5IxRmf4DV0AHOBmNQSJEycQo3+zXiTn6nidgFdhxIMn12M9q9Z+Xp5KT7qY6Vl4hKQJA7s0XH5eDzWkeN5Z1AQ7Zx/x6LoWXCuDm+8FM+q/0ryRTOFl19WGDwYBg50Y9Mm9fibNlW1qGhRVQcKF1a/U29vdd6Z+HgDFy7ouXlTonFjOHIEkpNNKIoTfftKjB7tyvGUEApNXo/XvB/ZsyGeIj+NZ9PBkkyeLBE/fxHX3p+Jt5OFGMmX53aPxdujMw896f4j4FBRv3NZNr1eb5v2NDOsVuWhpvO8FwcPuuHhAb6+SbYh/uqF6cHAgTqmTJH5559EwsLUEZ4mUzIxMQq1asH69Vo06k5AgPV23s9IQEAyoNYKFi8OYWEKIHH6NCTzNC1Za/P/AVNoFZBmO4aQEDf++Ue9sE0mMwkJaSxcqD7l1Sjald271RxfcnISJpM6Au0/qSookLhrH2nPNuXmTWe0PmxXVwsxMWrUIMsG1AUTVE6dSrkdHbvQsmUa06c7ceRIsi2t9OefRkBP7dpJlHNfxbXoIlxcshPX4v7sG+TOP+cVSpZqwT9F+/LN/iZU/GIQ0U1agLs716+bcHU1kpychJvOgqJ4s2aNGRMS73gux3rYBY+UcN7yWoMhcCML09L4jkJIwMmUWiQanTEVW81aWWbXuldJXPUWyQfO8CfDiMCfE+618Nu1m49vLOdjQEYi4psSDOc8tILtQJKrH+avvuPGpzNoNbM1qfM9uIqOeL8K7DkezLH/JgLqiL6rV1OQLc5UO/0rSvM5LD27WT1JL6W/Re8r14nw0/G0HPwF0oQJhFbvgTtfUsjbiZ662ch7bhF7rgvh4f6AG03CF3IDX9xJ4JejndFjxXJBj6VDayzVnqbwti1c5whhm8rQHyP/8jQvsQ7/PZdI7tGbpE8/x4QXlX8exE8dN+O0YxsfXxlAzeLO6Ium8L+9NSnzQSt+BC5XfoHDHYbz6+Cz/C96GD/wMWbFyLvM4jqFSd62FXy8kQsXUa/NNhINXvkJk2TmxFETUX+mAhIJeFCsQgKengpXrljw8bECLhgMyXh5ORMeDomJOvR6KzExKSiKeq05OSXh56feD0ePphEZqV47J0+q26WmurJggdrpP3GihdhYE6GhMocOSbev01Q8PWXAjePHzbi5WflI+Y75DaYQNOsLFF8/1v5i4Iu+MvWqJnEm0o+eRRKZNz+Fmzcl+vRx4ZSpHIGLV3Prj/289k4g739ZjDe6KMROcGNo+FfUqWRhZr8UZs12Z/9ZK4fRM/z1RG6Vqw/AirFOfHvcxLb6ifj661gc0YbgYJl4p0SGzvVjR3OF2rVTKFLESuHCbmzalP7QNhjSiIkx4++vjgg2GFIAVzw9FTw8FJYt07Fggbp9yZKpSJKJK1fS+PNPmV9/dWHDBvl2FVANJkyYSrcNLmwqkkhwhBmz2Zn/KrxCS+eOtG2Vhmn1CqbceoPYRcswv/zKA3UuM/z9771alUNF3d3dncTE9MmNZFm+p6BnlytXJPbtk3jqKWuGuSTc3VXRjIqSbJ0ykZESOp1y1zzL2nDywoXTRwaWLy/Tp08qmzYZiInR2Soy7pwdUadTkGUpw9wixYrJ7Nihz2Db3Z3bKQH1NfjCBR1Vq2bMpR3RVQUrGI78R9qzTYmNlWyddLb0i9VK0OUD1MKFhtIOdioNuHGjii2P/swzFqZPd+LSJR3+/lY2bzawY4eewoXVlJOZoxykOpWqFcJgUG0qikSHDmbOnzcy2PUb1txsiO+z9Ul+twcx0Z/yovNmvNoMZ+Ce3bxAFfb+3Jdt/ESduH22ticYg0l+rxdzd1fE9eBuXFx1tFJ+R6ekkdz7I+Yv9aDHtVHoOqzAGzhINV7gT4oVK0S/fqn06ZTMpy/+R+of22nlvJuv43sxZJwBCgeSVq8+XiWCaTusA797dOQmAUQrBuoZztGFBez8S+Y6zVGQsB4ozUym0XHlXKxFgtj/2kjeWd6W/w27yC8jL1OzVQCXKr3AyDFuXF2xGb/ZP1D39685yQKCGkh8dO0qAHK9SUijt1CbVDqtfYeOSCTjwgW/mnwYOYze5TbScv00nFetwFKmLNtMz1M09QIuJPMJ32BFz6mvVxHwuvrG6glUrSbx69VnifVtQuIVPWlpFhLNLrxj+pVfmkzlo7Uv02lAMypXgV8G18GrZWv+nnUBt6eKU/vIHPY7N2R1hYzL04WEKPy5PsWWstKubXd3hSJFFPz81A46LW3g66te/5cu6TIMPjIaFXQ6BS8v9Zp2c1O30dIv//2n59lnXTEY0qu4/vc/J4KCZJ57zsLs2WpE6+enpm8CA2VWrjTi7a1wmGpc+eJbivjKtjYk4cY/Z10pW1a+fd1abRVYUVESSBI3i9fhOG64eyUDFkqVkgkP1xEYqN6nRqPC4cN6/Pxkmx1Q+9NcXRVCQmS++y6Fzp1dbVUzlSvDsWOJtrEOjRtbWbJEx8yZyezfr7eNXQgMVO1plTQ+Pmp/UUqKRFCQTPPmFl55xcLkyU5ERUm2fhut0sdoTE8tenoqtiq4M2fUtXZ9fBQ2B7XlYkpFAg4dyLKo3w+HKm6NGjXYsmULL730EocOHaJs2bKONG8jIkKiRg31jaBnz7vLEufPT8ZikWjVypXNm/VEREj4+ip3vekYjeqXWLq0zLPPWtHr1U62oUPNxMZKbNyoy7QW1dlZvXiioqQMFSmhoTJms3pK7xw+HhKi8OqraaxYYSQoKGObY/R+3HIrhu+oYZhWLqNb+LO09C7Gc3Hz8P/NirvSAN2Vyzz31x88B6BAKk5sXDuZrc5vUqiQTKVKqs1Ll3RcuKBj4EC1V7VDBxnJkkZQ/CmiX2phG7Dk5aV2ynXpksa0aUamxNQnZtpcXOfPwn3oF3znPJWAlMtYw0I4/lxvQtb/So0db5OAO+u6zGXIgsrcwo9124viH5jC3v4m5h98n8olrDT9K9Z2ghcecmFT4TeY8VUYhyOCeLZ7ZUwmSEiQ2bVLT7zRl6AOden6RxP+KmnhUJyeAd0yFnubfQMZUmcjBw/qKP+0TFKnNC50GsUXF8fSmNuDZwaoP/a9MIgScwfgGavj+Ap3fjpVjkWKke+aJONlVe/oiJK1Mc7+mf+9dYCGm0ZRpL4P8ywd+GZVWQ7qm1FneBuWIpPsU4TTUf6U5iwrXpvDn9MqUPHlptTr1RcpKQm5SBBfNXHl2DE9Op1CWfkkbiQy99ny2I9krV9fYe5cva2PJzVVnWzskLka/3b7jjVrXenqkkRAgJWQEJktO104yVM8X9jC5CMf4esqA3fPBBkQoNjmttGCiLJlZSRJ7QOIjFRHMxqN6kA1raMyOVmydbp7e6ujdrV7IyhIHeimPSy00lmdTuGZZyycPq3j+nUdzZql2foUQBVsoxHefjuNCRNMFC4s29pjvw2oneX+/nd/rj2AtI51d3f181KlZHbvhsBAtRKsSBGFsDCJ2rWtGQakvfFGGs2bW3B3h+eftzJ+fIrtnEPGwWu9epkpVUrmlVcstGqVXnUVGKhu7+mpnR/Fdm47dkxj4ECzrc1RURLh4er50fqtvL3T+5A8PRWcndXjPHBAj6KoOuTubaBL2T2sHJTJMHIH4FBRf/7559m5cycdO3ZEURTGjBnjSPM2/P0VfvstiWvXnGnQ4O7lSWrWVE9WmTJqxOricvccHRrr1yfh5aXg6kqG3mhPT4iMxBad2OPjo2AwqEPs7Sd8q1XLyuLFCr17m6lT5+6e7S++SGXtWsNd61zqdDDt5RU8H7cC94M7aRMxA5fwZMzlKyMHB2OaPwcsFs52G87ns5+iRIuStP3rQ15e/j4NDF8wUu9L4LCnGKavBnubEFWqls32M8+A/uwZdJY0irUsb+uMrVTJSpkyanljYKCCxSJxvdFrFGrTFpfJ3xL2wzbmF+nP21s7cnq/O43Wj6Cy2wVSQkoxsI2RAwtcCQiQKV1WrTLRqnS8vZUME4p4eCgcu1WWtLrB3NyiBySKFJFJSJDYvdtA9epWW8lbRISOzGYB9vZWy/Vu3tTRpIkVV1cYwTA8QrxYfLkBUfgysv0B5i/1pE275yihU0tcq1SRWbNGvcSLFlVsA5hiYiSCghR2S/X5pdSf/PcLRH6fxpFVzlyYuICAAR9wjUKED/mKxv0a4EsUn1VQR1gGBSkoXt4ot+cNCQxUO1N9fRWumcsTFyfh7p6xdKV0abUO/qr6MkBamlqCabGki6cmYDVqWFm9Wj1/2gC2h1kkR4vUNREtVEjm4kU14vbxUTuPfXxUIbJY0iP1vn1Teeut9HuocGF1gFBKimQbedywoYWZMyUkKZmhQ51ZvFhH06bWDKOgte/wzTfT+PZbJ375xYnAQBkvuylONPFWjy39d63tmqhrL/vaOSlZUs6wT5EiMmFhOurVy3iPGQzpogzQteu950CvVEnOdCHsatWs+PgotoeSj0+6qLdtmy7+mqhHREi4uSns35/Ip5+6sW1b+sA5Dw/Q6xXc3RVb1Zivr2rv5A1X0GU99Xw/HCrqOp2OkSNHOtLkPalTx3r7Zr/35ENNm1qZO9dI2bKy7aK7kyJFMv/cy0uxCbper45qLFZMjWK8vRXb6EP7SL1dOwvt2997cefQUIVNm5Jsr3gaOh1c9alM7V9rABBUKIUu9U/Tf3ox0OlIvHYVXWQEN0w1WDnbjX4VU+l0ZDP9ii+n8OGNFPeOInj/PoZbV8ByOFH4WaKcu9Homxdp09kHflVLOCwVKtl8rliRPvpBu1nCwyUKFZJI/ugT3lr+JcWLy7ztkqLWQOPDjkQfngu2UKyYmuOvX9+KJKmRihbZ2Jdggnpha5UcWgQWFCRz+LCe69clevc2227eiAjprv1BFfVr19TV4gMD1RSBGRM/uvTn9O3SwL+LlOI3THR2T79Runc38/HHqiLaD0rThDQyUnf7YZ8+m+OlkIasH3aEDz5wYU+9BAweLlyND6Z69UTefddMixYZRy9pIuLjoyDL6qv3nQ8mbWSh/Sr12u9alZGbm7pNq1YWO1FXP3sYUXdygnfeMdumVyhUSGH/fjX9oolpoULpI6jtI3VNtEAVdW00bYMGVlat0tGnj5mSJU3ExED79mkcP67jmWcsGaZW0HwEBir8/HMyGzaoD2x77iXqRqN6v2kpH+060UaIahVr2n2jTTiWEyWBzZtbOXky/R729lZo1y6NQoXUklj7Y7l0SR0UFRCgVVypbY+PVzvztcxzqVKy7ZxqDwlHrqF7J/l+8NH9qF9fnVTqyBE9r7768GsjQkZxCgxURSUoSMbVVZ2DRcu12+fUH2bKUvvXUfv97KOea5HOJIWWA50aSchBRZGDiuJ5XW1TSIhCQBEdy2jHnuTX6dfTTOkBZt55NY3nL8zgjaipzEh5C/kzd9jbjrSoGBS9Hmvp9LysfT+EJkw3bkhUrKh+FhMj2aoh7M9FkSIyRYsq1K5t4bXX0gD1BGg5SPvITNs3Lk5izRqDbUBRkSIKu3ZpuU7ZJmiqaN99fry9FdtcLAEBsk007WvOtQEe9oLasaOFIkWS2bFDT/HiComJiu3YQBVUddbM9GkdwsMl23erTeMbH6/2bYwZc/f6Zlp7fXzU3HREhP6u6+DONcXNZslWj66V22ppsZdeSn9opIv6vQMXeyZMSG9foULK7UF3kk20K1ZMP7dapH4nhQvLtgfOyy9bGDgwNcN4jsaNrWzapBUGqPa8vJQMsz02bWqladO7BVfL28uydNebs59f+neYLurqNk8/baViRattFs3y5WUCAuRMp9d2BNr3V7mylSpVZGrVkqlVK2NUHxqqsH27Dj8/xZZK8vBQS3bj4zOObq1ZM30EsK+vOlAsJ0U9308TcD9q1ky/sO4Vqd8L+/pwLZovXFhhwoRUvvwy1SZEjlg/VqdTa7i1iBWwCao9RYooLFqURLt2aRQrJrN/vx5ZVt8gALxD3Rlv/Yw2T53mg0qbSG3VBmn5Mky/rcJapuw9V4wIDtaG+adfDrGx6WKQUdTVCOT335Np0cI+XXX3tqBe3PHxMGCAiV9/Ve98bfAOqDeo/VJl90q/aEITGKjY6vXt6/k1QdC+F41nnrEyeLAZnc5++gD1b5GR6eJi/7aiCa6LS/ro1DvtaqRH6urvmb1p3Dn+zj5STxd1dT+9Xs33Qnod/B1rOjwUfn7q2+WFCzpbesO+g/5e1619DtrHR8l0gJ6Gt7f6/dpH4PdDr09/K7hznns/v/SHtNbRqAljQIDC1q1JlCmjno8PPjCza1fiA1fZyi6bNyfZpiC4kxIlZJKS1BG92rF4eqpz/dy8qctwHdjbUNMv6Ytn5AQFOlL391coUULmwgXdPXPq98Je1NX8mp6AAMWWK9duwntFPI+CTqdOxlWsmMyxY/q7/NujRUDvvKN2uoI6LB1Uwb15U8LJyUDhGo1I+L4WhqlTSF68DGtwyD39FymiVhRcuqTeVKmpag44XdQzbpsZGXLqdnh4qJGZ/dwtmnAYjQolS8oZ3lLsB1hp2FctaekXUPs7DAa1P0CrPrB/MN6J1jZtIFNCgmR72GvXR3h4+sReLi7p+9xrxT/thvbxUejRw5xhQqt0v2q77Cf00uZ40dIv9vaHD0+lZ0+zLWJ92EjdHu14btzQ4etrud3G9L/fy+adon4/JEmN1h9lNUQ1F02GjlJQRV07d9px32sWUqMx4zzwjwNt4GJUlA5/f22aAvVv165JGSYXs3+j0CJ1UAMnR+jHnRToSB3Uzkt49Ej9zugUsHWeQPpN6KhIXZbJsDjBneJ4J3XrWqlbV72YtAusSBHFNiLQ9hBzdSW1bTsst6fLzQy9Xn2d1EakahGw1gaDIf0hVqRI5q+82gV958Mos3VItXNbqpSMk5P6AqHX31s87W2qkfrdtrROtvtNR+zurr7+//efnhkz1FI87Tw5O6u2tEhdr1dsI2WdnJR7ioh9+qVyZfmuOeIhXfy09iYnS7b+mshItYLKPurU5ufXHnBZucYaNbLahNtenMuVU9t3r+jf/hp/0DUIMHhwKv37352Wuhfag+XuSD1jTt3V9e5qtbyE/Whm7RrSrvVr13QZ0i8AixYl8dprabi5pZ/Xh13g/lF5gkT90fJv9rlhLXqxj2LS0y+OiNSV2xOQpdvK7DX+TsaMSeWjj1JtN4h9qeSjvpkUKybbat7vrH2GdGG9X8ey/U+NzI5DS7dosztKUvpnmUUumhAYjeqrvpMTtlp77WFyr/SLPTqdekOtWGFk1Cg1FWUfMQYEyLacuqsrtoqR+0X/9h2l9yM4OP1Nxn56Xm1t3cxIF/VHv8YKFVJs+XltThrA1tl3r1f/R4nUQS0dzCx/fi+0GSzvl1NPSOAuUcxrhIQotkAkPf2S/iZ453XftKmVqVNTkKT0e0SIehZ54QULzz1noUaNRxX19C+ldm0rzZtbMqy0rkWLD7uw8f3QInWrNf1LfpgoqXJlmS+/NNs6duwFNyuifmekbn8O0kU98/NYvrzMiBEpvPBCxuoQ7ebU69X+gB9+SLZ9pok6pIvxvXLqgK3KQN1e/akO7FI7nvR65YH5Z23aYw1tWljNfkSEGqlrD5cePdIydEDeSdGiCm3bptGkyf0XPdD6LXx9lQwiGxkp3fPtQjuWrL4Narn5smXTr1utLM++9M8e7XOD4dEXYXkY/PzUh+Sd33PJkup0HmfO6NTJvPK4qBuNqrBD+r1mn6a8X1CWvoZuzrStQOfUQb1If/nl0XskMla/yCxYkNGGo3PqipKxAuZeOfX7kTFSf7SHWLFi6rS0MTHYplywj9Q8PdV0wJ3VLRo6HfTqdXenkvZKWqyYYovozp5VRa1atXSx0aLhzHLq2k1gL0SurqqQq7MbqpNwFS+uZKjquR9//53IvHnGDPnOgACFI0f0BAWlPxwqVpQzVI3cicEA06Y9eDVwLVK/M/qNi5MydBzbo64jqmT5GqtaVebo0YQMqceXX7bw778JNkG6Eyen9LfarCxA/SDeey+NJk3ujuzbtlX45BOF5csNxMdLGTrP8yolSqhvt1rllH2q8X7t17QlpyL1Ai/qWcXFRZ2gy2zOPJLSPnNkTl0TdU9P5a6c48Pg7a1N33p3ydiD0NZK/egjZ06fvruz1sdHIShIfuQbXYu4tOHSAKVLK+zenZChsiI9/XK3jfRI/e7I3slJnUUvKQlKl37wg2zVqiQkSU1D3FmiGBCg3E6/ZP5wyQ7ly1uRJMUWsdtzr45GSVKFIjsRc2bX0b0EXSMwULlrHVVHca+HZJEiaj/A8uVGAgKUPB+pgyrqW7ZkJ1IX6ZdcRZLSywozu8Edm1NXl7OTZbUm99ixhCxFKloHGzx6+kXr+PnzT6NtUIl9VDlwoJlvvnn4DjEN+05Re0qVUjI8INLTL5nl1DOL1NWfaiWE+vnDiHr9+ta7RiJqBASoNelRUdIjVXQ8DM89Z2X37sRM23i/foDp05N5770cUth7UK2aNUNqLLd47bU0Ll3S8c8/+vv2Y+QVate2UqiQfNfUAurv926/9rYrIvXHgJcXhIdnHklpN6Ijc+qyrOaes2MzKEjm/HndI1f7aLXuoaGybcUY+4v0fimI+1GokFq22Ljx/XPOD8qp6/VKhuogTfxNpvSywIcR9fuhpazCwnR3PYSyiySpi7I4Od39t/uJ+qN0QjqKb75JzZHUy4OwrxzKrGoqr9G2rYW2bS22c/Wwoq7Xq2+wORWpC1G/D97eqnhklqetWdNKw4aWTNc5fVS0EaWqqGfPVpEiah3so6aF3N1h4MBUnn3Wws6d6gyPD5ufvh/OzrBnz92TUWXmHzKP1F1dYenSZCpXTr/ptZSEk1N6x2N2RV1LVdy4IVG5crZM3ZPMRT1nfGWVxyHooHaiPvWUlSNH8kekfud5MpnSU7YPetPOyakChKjfB03UM6NUKSXD/CnZwT5Sz66Q9uljzjDU/FH45BP1Nb9GDTMffpi9djwq90u/ADRsmDFitY/UNRwl6oqSM4NCID1VZM/9IvUnjcaNVVF3REDxOPDwUKc8flBJ8sCBqba1bh1NPj11uYOvr5Irr4Fa9YvVmn1Rr1BB5uWXsybqj5P0SP3htte2s4987csTs4J9p6Kjc+oamaXW8lqk/jjRBtSdOJE/pUm7jh8k6u3bW2jQIB+sUVrQGDJE4fz5R+8cfFS0wUeyLCFJT2bU9qglovbVL+XKWbl8Ofsi4Oen2BaYzrlI/e7PRKSeTqNGVmrUsDJgQO52DjsKrWrncVbvCFG/D2XLQkBAzndUaekXRcmRJQvzBel16g+3vZZ+cXKCLVuSMtT4ZxWDQRX2yEgpS5NoPQwmU/rN7uamkJgoCVG3w9UV/vwzZ+YZzw3SRf3xtSF/vuMUMByZU8+v3K+jNDPSO0pVMc6sAzIraKWguRGpa+kikX4pOGhi/jDTfOQUT6iE5C206hdH5NTzK5rAPcx8I2DfUerYm0fLq+dcpJ7+u3asIlIvOLi7qzOeOmJQYlZ5QiUkb3FnnfqTSPPmFtasSbrv/N32ZNZR6gg0Uc8pobWvfkkX9RxxJXgMaOvGPq6yUBCinidQq1/UEaWP82J4nOj1j7Y8WXpHqWPbkR6p54yoa5G6JKXPqy0i9YLDJ5+ksnz54+0TEB2leQD7jtInNf3yqKTPkuno9EvWVxt6GLScurNz+jEIUS843Lnm6+NASEgeIH3qXSHqD4uWU3f0Cjg5Hak7OWlzBqUfg0i/CByJkJA8gLacnSOmCXhSSJ97x7Hiq80vk9kasY5ASxc5O6dPqSsidYEjEaKeB0jvKJVEpP6Q2Jc0OpI6dawsXZpkW4vW0WjtNZlE+kWQM4iceh5Ap1Ns0wQ8qR2lj0rZsjIff5ya6YIL2UGS4Jlncm7AmZZ+cXFRJ6+qWNGaYXY/gSC7CFHPA4iO0kfHYIDBg/PfUHL7SL1FCystWuTf0ZOCvImQkDxAxjr1x90aQU6ilTQ6YnEVgSAzsiXqGzZs4NNPP7X9/9ChQ7Rv356OHTvy448/ZrtxTwoZpwkQN3tBRq9Xv+PHOeJQULDJsqiPGjWKSZMmIdvNpDRs2DAmTZrEr7/+yuHDhzl27JhDGlnQUacJkERJ4xOCySQidUHOkWUJqVGjBsOHD7f9PyEhAbPZTGhoKJIk0bBhQ3bv3u2INhZ47CN10VFa8DEaHbNguUCQGQ/sKF26dCnz5s3L8NmYMWN46aWX2Lt3r+2zhIQE3O3WcHJzc+Py5cv3ta3XS3h7Z301Ar1el63984p9k0lH4u0V31xdDXh7Oy6xXlDOUU6S28fg7AweHnqH+SyI5yi/2c8tHw/DA0W9ffv2tG/f/oGG3N3dSUxMX4syMTERzwfUalmtCjExWe/99/Z2zdb+ecW+1epCWpqE1SqRlmYhJsZxC3MUlHOUk+T2MXTt6kSVKlZiYhxTOlkQz1F+s59bPjT8/e89YbvDMrju7u4YjUbCwsJQFIUdO3ZQs2ZNR5kv0KRPEyAGHz0JfPqpmeefz/nFVwRPJg6tUx8xYgT9+/fHarXSsGFDqlat6kjzBRZ1OTtJlDQKBIJsky1Rr1OnDnXq1LH9v1q1aixZsiTbjXrS0BbJEB2lAoEgu4iX/TyAOp/6k72cnUAgcAxCQvIAYvCRQCBwFELU8wBimgCBQOAohKjnAVRRl0T6RSAQZBshIXkA+5JG0VEqEAiygxD1PIC28pH2u0AgEGQVISF5AJ0OLBb1d5FTFwgE2UGIeh7AXtRFpC4QCLKDkJA8gE6nCFEXCAQOQUhIHkCN1CXb7wKBQJBVhITkASTJPv0iBh8JBIKsI0Q9DyBy6gKBwFEICckDCFEXCASOQkhIHkAbUQqipFEgEGQPIep5APvoXIwoFQgE2UGIeh7AXshF+kUgEGQHISF5AHshF6IuEAiyg5CQPIC9kIucukAgyA5C1PMA9rXpok5dIBBkByHqeQCRfhEIBI5CSEgewD7lIqpfBAJBdhCingewF3KRUxcIBNlBiHoeQKRfBAKBoxASkgcQoi4QCByFkJA8gChpFAgEjkKIeh5ATBMgEAgchSErO8XHx/PZZ5+RkJBAWloaAwcOpHr16hw6dIjRo0ej1+tp2LAhffr0cXR7CyRimgCBQOAosiQhc+bMoW7duixYsICxY8cycuRIAIYNG8akSZP49ddfOXz4MMeOHXNoYwsqYvCRQCBwFFmK1N955x2cnJwAsFqtmEwmEhISMJvNhIaGAtCwYUN2795NpUqVHNfaAorIqQsEAkfxQFFfunQp8+bNy/DZmDFjqFKlChEREXz22Wd88cUXJCQk4O7ubtvGzc2Ny5cv39e2Xi/h7e2axaaDXq/L1v55xb6bW3r+xcPDhLe3433kFPndfm74yO/2c8NHfrefWz4ehgeKevv27Wnfvv1dn586dYpPPvmEzz//nNq1a5OQkEBiYqLt74mJiXh6et7XttWqEBOTlIVmq3h7u2Zr/7xiPzXVCDgDkJSUSkyM1eE+cor8bj83fOR3+7nhI7/bzy0fGv7+Hvf8W5Zy6mfPnuXjjz9m0qRJPPPMMwC4u7tjNBoJCwtDURR27NhBzZo1s9biJwxRpy4QCBxFlnLqkyZNwmw2M3r0aEAV9KlTpzJixAj69++P1WqlYcOGVK1a1aGNLaiIaQIEAoGjyJKoT506NdPPq1WrxpIlS7LVoCcREakLBAJHISQkDyBEXSAQOAohIXkAIeoCgcBRCAnJA+j1YvCRQCBwDELU8wAiUhcIBI5CSEgeQMz9IhAIHIWQkDyAmCZAIBA4CiHqeQAx9a5AIHAUQtTzACKnLhAIHIWQkDyAEHWBQOAohITkAUROXSAQOAoh6nmAjNUvok5dIBBkHSHqeQCRfhEIBI5CSEgewD46F9UvAoEgOwhRzwOInLpAIHAUQtTzACL9IhAIHIWQkDyAEHWBQOAohITkAcTKRwKBwFEIUc8DiGkCBAKBoxCingcQ6ReBQOAohITkAexTLmLwkUAgyA5C1PMAoqRRIBA4CiHqeQCxSIZAIHAUQkLyAGJEqUAgcBRC1PMAoqNUIBA4CiEheQCRUxcIBI5CiHoeQETqAoHAUQgJyQMIURcIBI7CkJWdkpKS+PTTT4mNjcXFxYWvv/4aX19fDh06xOjRo9Hr9TRs2JA+ffo4ur0FElH9IhAIHEWWRH3JkiVUqlSJPn36sGLFCqZMmcKXX37JsGHDmDx5MiEhIfTo0YNjx45RqVIlR7e5wKEJuSQpovpFkGexWi1ER0dgsZgdbvvmTQlFybmBdzltP6d8GAxO+Pj4o9c/vFRnSdTfeecdrFYrANeuXaNQoUIkJCRgNpsJDQ0FoGHDhuzevfu+oq7XS3h7u2alCbf312Vr/7xi38tL/b9Oh8P9FZRzlJPk92PIrXOUkBCFq6sb7u5BSCL6yHEURSEhIZaEhCiKFSv+0Ps9UNSXLl3KvHnzMnw2ZswYqlSpwltvvcXp06eZM2cOCQkJuLu727Zxc3Pj8uXL97VttSrExCQ9dGPvxNvbNVv75xX7iYk6wA2dDof7KyjnKCfJ78eQW+coOTkZT09/ZFkBHBuR6vU6rFbZoTZz035O+XBx8SAuLvqu79ff3+Oe+zxQ1Nu3b0/79u0z/dv8+fM5d+4c77//PqtWrSIxMdH2t8TERDw9PR+27U802uAjUc4oyOuICD13ycr5zlK33LRp01i1ahUArq6u6PV63N3dMRqNhIWFoSgKO3bsoGbNmlkx/8Sh5dRFJ6lAIMguWcqpv/baawwYMIDly5djtVoZM2YMACNGjKB///5YrVYaNmxI1apVHdrYgor2MBZBkEBwf65du8pPP31HbGwsVquFUqXK0rv3h7i6utm2OXPmFDt2bKdr1/cytbFnzy5u3rxB69avPpLvdu1eYeHCZZhMpmwdQ06TJVEvVKgQs2bNuuvzatWqsWTJkmw36klDROqC/MbixQZ+/dXoMHuSJNGxo5nXX7fcc5vU1BQGDvyEAQOGUKlSZQD++ON3hg8fzIQJ39m2K1OmHGXKlLunnbp16zus3XmRLIm6wLFouXSRUxcI7s2uXTuoVq2GTdABXnyxJStXLuOrr4YSHx9PXFwsb7zxJps3r2fEiLH8/vsqli9fgqenFwaDkWbNngfg0qWLtGnzGsOHDyYgIJCrV69QsWIl+vcfRHj4TSZOHIfZnEpcXCzvvPMejRs/+5iO+tERop4HSI/UxQIZgvzB669b7htVPyoPUzly7dpVihYNvuvzIkWCOHz4IO3bd+T11ztz4MB+AGJiYliwYD5z5/6Cs7OJDz7ocde+ly+H8e23P2IyOdOhQ2tu3Yrk0qWLdOzYmRo1anLkyGFmzZomRF3waIj0i0DwYPz9Azh+/Nhdn1+5cpmqVasTGlrsrs9LlCiBs7Mzer2OypWr3LVv0aLBtny8n18hzGYzfn6FmDdvFmvXrgYkLBbHPbxyAyEjeQDRUSoQPJiGDZ9h//69HD9+1PbZb7+twtvbB51OhyRllLPg4BAuXbpIamoKsixz4sTdD4TMSgZnzvwfL7zwMkOGfEWNGvmvgk9E6nkALUIXOXWB4N64uroyfvy3/PDDJOLiYrFYrJQuXYbhw0fzww+T7tre29ubzp3fpnfv9/Dy8iI1NRWDwfDAyLtJk2Z8//1Efv55DgEBgcTExOTQEeUMkpLTEyLch7Q0qxhRGpPErVsSFSq4ExQkc+hQ4oN3zIKPnCK/288NH/ndvubj5MkTFC5c7MEbZ4GcGI1psVhYuHAeb7/dHb1eR8+e3XnvvV5Uq1bDoX40cmrU6o0bl+4679kaUSrIebQOUpFTFwgch8FgICUlhW7dOmM0GqlQoTJVq1Z/3M3KcYSo5wFER6lAkDO8//4HvP/+B7ky90teQchIHkCIukAgcBRCRvIAWge8EHWBQJBdhIzkAcTgI4FA4CiEqOcBREmjQCBwFELU8wAipy4Q3J8DB/bTsuXz9OnTgw8/fJ9u3brw5ZcDSEtLu+c+o0cPZ8+eXaxb9xtTpvzArVuRTJw4Llvt6NOnB507t8vw2bZtm2nYsCbXr1/Llm1HIapf8gDpa5Q+3nYIBA+LafEvOP+6wGH2JAmSO3Yh9fVO99zm6adrMmLEWNv/hw8fzI4d22jS5LmH8uHnV4j+/Qdmu62gTu+rzQS5ceN6Chcu4hC7jkCIeh5AROoCwaORlpbGrVuReHioq6tNnvwt//13CIDnn3+BDh3euGuf69evMWzYF0yfPpe33+5ItWo1OHfuLADjxn2Dm5sbkyaN59Sp4/j6+nH9+jXGj/+WIkWCMth57rkWbNjwF2XKlCM+Ph6zORVfXz8AEhISGDduJLGxsQD07fsZpUqVZvnyxWzbtgWLxYK7uzujR3/Nhg1/snv3TlJTU7h69QqdO7/NSy+9ku1zI0Q9D6BF6CKnLsgvpL7e6b5R9aPyMHXk//67nz59ehATE40kSbRq9So1a9Zm586/uX79GtOnz8VqtdKrV3eefrrWfW0lJiby3HMt6Nfvc0aM+JI9e3ZiMpmIi4tlxoz5REdH88YbbTPdt0GDRowaNYxevT5k69ZNPPtsM1auXAbA/Pmzefrp2rRt247Ll8MYM2YEP/00g9jYWL77bgo6nY5PPuljm4cmMTGBb775kcuXwxgwoJ8Q9YKCJKmVLyJSFwjujZZ+iY2NoV+/D2wR9KVLF6hatRqSJGEwGKhU6SkuXjz/QHtly6rpk4CAQMxmM9evX6dy5acA8PHxITS0eKb7mUzOlClTjqNH/2P79i2MGDHWJurnz5/lwIH9bNq0HoD4+Hh0Oh1Go5Hhwwfj4uJCeHi4bf6Z0qXLZmiDIxAykkfQ6UT6RSB4GLy8vBky5CvGjx9FZGQkxYqVsKVeLBYLR4/+R3Bw6ENYytiJVbJkKY4ePQJAXFwcly+H3XPP559/gcWLF+Lp6Ymrq6vt82LFitOhQyd+/HE6X301jubNX+Ds2TNs376VkSPH0q/f5yhK+htJTizkLSL1PIIQdYHg4SlRoiTt2r3Od999zahR4zl48F/ef78raWlpNG36HOXKlX9km/XrN2TPnl307NkNX18/nJ2dMRgyl8hateowevRwvvhiaIbP33qrG+PGfcWaNStISkqkW7ceBAeH4OLiQvfub+LkZMTPrxCRkRFZOu6HQczSmEfsh4a6U7Wqld9+S84xHzlBfrefGz7yu33NR36bpfFR7V+6dJEzZ07x3HMtiI2N4c03X2fZst9wcnJymI+sIGZpzKeISF0geLwEBAQydeoPLFnyK7Is06vXhw8t6HkJIep5BLWz9HG3QiB4cnFxcWHcuG8edzOyjZCRPIKI1AUCgSMQMpJHEKIuEAgcgZCRPIIQdYFA4AiEjOQRxOAjgUDgCLLVUXru3Dk6dOjArl27MJlMHDp0iNGjR6PX62nYsCF9+vRxVDsLPJIkpgkQCO7FgQP7GTp0EMWLl0CSJBITEwkKKsqwYaMwGo2Z7jN69HCaNWtOVNQtLl++RLt2HZkzZ2a2JvW6cuUy338/EavVitVqpVy5CvTs2QedTsfSpYt49dUOGbZPTU2lc+d2LFv2W5Z9PipZFvWEhATGjx+foeRn2LBhTJ48mZCQEHr06MGxY8eoVKmSQxpa0FHTL2KRDEH+YPHiX/jVwbM0duzYhdfz+CyN06b9xGuvvU7duvVRFIUvvviMv//exjPPNGHu3Fl3ifrjIEuirigKQ4YM4ZNPPqF3796AKvJms5nQUHV4bsOGDdm9e7cQ9YdEpxNT7woED8vjmqWxcOEi/PHHb7i6ulKxYmW++mocer2eefNmERcXy8SJ4+jd+yNGjvyS+Ph4ihYNzvmTcQcPFPWlS5cyb968DJ8FBQXx0ksvUb58+lDchIQE3N3dbf93c3Pj8uXL97Wt10t4e7ved5v776/L1v55yb7BIOHsbHC4v4J0jvKrj/xuX/MhSRJ6vdrx06lTFzp16pKjPu/0f+DAfj788H2io6PQ6XS0bv0qderUZceO7dy4cY1Zs+ZjtVp4//3u1KpVG0mS0OnUf+nHoP5MTEykefMXqVKlKsOGDWbfvt2YTCbi42OZPXsB0dHRdOjQGr1eZztmgJ49P2DFiqVMn/4T586dpX79hnz66UC6dXuP5cuXMGDAFyxduohSpUrTs2cfjh07woED+zPYeFQk6dF08oGi3r59e9q3b5/hs+eff57ly5ezfPlyIiIi6NatG9OmTSMxMdG2TWJiIp6enve1bbUqYpoAm303rFYrMTEpOejD8eR3+7nhI7/b13woipJjQ/kfNMTeapWpUSPjLI2BgUWwWmUuXDhPlSrVkGUFSdJTsWJlzp8/h6IoyLL6T7OhKNj8lC5dBqtVxt8/gJSUFK5evUqlSk9htcp4enoRGlocq1XO0K5//tlH+/Zv0L79GyQlJfHTT98xa9Z0Pvywn83H+fPnqFOnHlarTPnylTAYDNk6b4pyt07eb5qALD0+NmzYwM8//8zPP/+Mv78/s2fPxt3dHaPRSFhYGIqisGPHDmrWrJkV808koqRRIHg4HucsjVOn/sA//+wBwNXVlZCQUFu/ojaNVmhocZud06dP2qbZzS0cOk3AiBEj6N+/P1arlYYNG1K1alVHmi/QCFEXCB6exzVL44gRY/nuu6/53/9+wmg0EhRU1Nb5WqJESUaOHMIXXwxj7NgR9OrVnWLFit+zOienELM05hH78+YZCQ2VadLEmmM+coL8bj83fOR3+5oPMUtj9n1kBTFLYz7l7bfvvSq6QCDIecQsjQKBQFCAELM0CgSCJ47HmK19IsnK+RaiLhAIHgqDwYnExDgh7LmEoigkJsZhMDxaCkikXwQCwUPh4+NPdHQECQkxDrctSVKOPixy2n5O+TAYnPDx8X+0fRzaAoFAUGDR6w0UKlQkR2wXlAqhnPbxMIj0i0AgEBQghKgLBAJBAUKIukAgEBQgHuuIUoFAIBA4FhGpCwQCQQFCiLpAIBAUIISoCwQCQQFCiLpAIBAUIISoCwQCQQFCiLpAIBAUIISoCwQCQQFCiHoOkN9L/3Oj/fn9HAHIcs6t1CMQZJUnRtQVRSEiIoJr167Z/p8TPkCdrS0nbnhFUQgPD+fmzZsOtw2qSHXo0IG1a9fmiP3c8CHLMl988QVXr17NEfv26HJoUVlFUdi3bx8nT57MEfsFgZw+R9q9duPGjRyxr/m4fv06169ft/3fETwRoi7LMu+88w6TJ0+ma9eu7N+/H0mSHrzjIzJnzhy6du0KqDe8I4VdlmW6devGTz/9RPfu3Vm/fr3DbGv2R40ahcViITY2FgCr1bHrpea0D1mW+fTTTylevDhFixbNkQerdgxjx47lr7/+IinJsbPyybLMu+++y8qVK+nRowfr1q1zqH1FUVi9ejUpKSkOtZubPnL6HGn2p0+fznvvvceGDRscal/zod3PXbt2Zffu3Q7TpCdC1H/55RfKlCnDyJEj6dGjB4cOHcqRJ7DRaOTgwYO89dZbgGOFfdGiRZQpU4YRI0YwePBg5s2bx2+//QZk/wmvKAp9+/bF29ubzz//nD179gCg1+uz3e7c9DFmzBhKlixJjx49GDlyJH379mXZsmVERUU5zEfv3r1xd3endOnSrF+/nri4OIfZBpg7dy6lS5dm7NixTJw4kbVr15KQkOCwKC41NZUxY8awYMGCHBPdnPaR0+doxowZlChRgi+//JJhw4YxevRoli9fDjgump41axalSpVi1KhRvPfeexw/fpxbt245xPYTIepGo5HU1FQAdu7cycaNG3n//fdZsGCBw3ykpqaSkpLC2rVrKVGiBF26dAEcJ+yenp5ERkZiNpupV68e/fr1Y86cOWzdujXbT/iwsDCaNm3KRx99RN26dXF3d+fKlSuA4y7i3PBRunRptmzZwkcffUSVKlV444032LFjB1u2bHGI/Rs3bqDX6+nbty/t27fHaDSydetWh9jWMBqNtsUWfH190ev1uLm5OSyKu3jxIt7e3mzbto358+fniOjmtI+cPkfu7u6kpqZiNpupWbMmr776KqtWrWLfvn0O8+Hp6UlYWBhWq5Xt27ezc+dOunfv7hBNKrCirigKa9eu5fTp09SoUYMvvvgCgPr167No0SLGjx/P3r17SUhIyJaPdevWcerUKdLS0mjRogWenp6MGDGCoKAg3n77bSDruVfN/unTpwkNDaVkyZJs2LCBpKQkatasyYcffshff/2VrYfGrVu3KFasGG3atAEgKSkJRVHYtGkTgEMu4pz2ofUxdOzYkaZNm2I2m2nTpg316tXj7bffZtOmTbaHenbw8vIiKSmJy5cvAxAQEICvry8Aly9fzta1pL05Pvvss3Tp0gVJktDr9ZjNZiRJYt26ddl6gGjnyNPTk4kTJ/L999+zb98+h4puTvvIyXOkKApHjhwhNTWVcuXKERAQwE8//cSWLVu4evUqL7/8craDA3sfzz33HPXr16dz586Eh4cze/Zsxo0bx65du4iJicmWnwK58pEsy/Tv3x+LxcLBgwcpUaIEZcqUAaBdu3YAREREIElSlgXX3oefnx9lypShU6dONoGdMGECvXv3pkePHkyfPj1b9gMCAihWrBhBQUEcPXqUpKQk2rdvj9lszlLbNWbOnEl4eDhvv/02RYsWBcDV1ZWePXsydOhQihUrxrPPPpunfcycOZPIyEg6d+5MSEgIPXr04OTJk6SmpmIymUhOTsbd3T1bD45ffvmFatWqUbFiRaZPn47RaATUaygkJIRt27bx+++/M2TIkCwfQ0REBF27diUkJCTD3ypWrMiWLVuYN28eY8eOzZb9d955h6CgIEwmE76+vowcOZKRI0eSnJxMz549MZlMWbKfGz5y8hzJskzfvn0BcHNzo3LlyhQuXJiUlBR27NhBly5dSE1N5cyZM1lq+50+nJ2defrpp2nfvj2+vr4cPnwYgPDwcBRFwWDIniwXyEh98eLFFClShB9++IG6dety4MAB299WrVpFnz59mDlzJn369MHV1TXbPho0aMD+/fsBNSq3WCwATJkyha+++irb9mvXrs2JEyd49dVXqVq1KqdPn+a9995j4cKFvP3221l+MMXHx7Nx40bWrVvHpUuXbJ8XL16ctm3b8s8//2Q7ws1pH/Hx8axfv54///yTS5cu4eTkRJUqVVi8eDFdunRh6tSpdO/eHSenR1u8VyMqKor169ezevVqTp48aRN0AF9fX3799Vfmz5/P+++/j6enZ5aPYcOGDfz2228ZztGtW7eYMmUKc+fOZfz48ZQsWTLb9i9fvoyfnx8AQUFBDB48mPPnz2e7wzenfeTkOVq+fDn+/v788MMPNG3alKSkJG7evMmrr75Kq1at+Ouvv5g0aRIdOnTIcvvtfTRv3pzw8HDmzJlDamoqaWlpDBw4kJkzZ9KvXz/c3d2z7AcKaKQeERGBi4sLANWrV2fJkiW2v9WsWZNy5crh6+tLYGBgjviwT4dk1Ye9/aeffprFixcD8MILL/DMM88QGRmJq6ur7eZ5VCwWC56envTr14/Dhw/z559/8uKLLxIaGgpAnTp1aNq0abait5z2cT/7L730EjVq1CAwMBB//0dbuNeeK1euEB0djbe3N2vWrAGgfPnyABw9epRz586xaNEigoODHX4MpUqVokmTJnz22WcUL17cIfbXrVuX4TsICQlh0qRJ2YoOc9pHTp8jRVFsD+vnn3+e/fv38/fff3Pw4EFq1KjBrVu36NChg+14suvjueeew9vbm3/++YeAgAB69erF1atXCQ4OpnDhwln2Ye+swBEdHa0cP35cURRFOXv2rNKuXTtFURRlw4YNysqVK3PUx/r165Xly5crVqs1S3ZlWX6g/RUrVmS3+Ta7iqIoly9fVoYMGaJMnz5dOXfunENs55aPO+1PmzZNuXjxosPs37p1S9m0aZNy+vRpZdq0acq4ceNs38uBAwccciyZnaMLFy4oiqIocXFxOWL//Pnz2babmz5y8hzdunVLadu2rTJr1izbZz///LMyevTobNl9kI958+YpY8aMcZgPjQKXfrFYLHh7e1OhQgVAfUJWrVqV7du3M3v2bGrUqJFtH2lpaff0MWfOHGrWrJnllIgkSfc9hjlz5vD0009nybZyu8pE+1mqVCkAgoODbbno7du3k5aWliX7ueHjQfZPnTrFli1bsnUM9r58fX1p2LAhZcqUoUmTJgQEBLBo0SLOnj1L9erVs/S6r7Vde6PL7Bxt3rwZq9WKh4dHttp/L/vbtm1zyPd8v2PIjo+HuY6yc440uxaLBV9fX77++mu2bdvGlClTAPDz8yM+Pt4hHbz38uHv7+8wHxlw+GMil5FlWdmxY4eSlJRk+7+iKMrFixeV+Ph45cSJE0rdunWVnj17ZjmqkmVZCQ8PV1JTU3PEhyzLyvfff6+Eh4crFoslR47B/s3B3n5cXJzt/1evXlVu3ryZJfv2dnPKh8ViyVH7d9rWfmrXlqIoysmTJ5V58+YpkZGRWbKdlJSkJCcnZ7DvyGPQvmdZlnPsHOX0MeT0dRQfH68oinquNHs3btxQzp07p7Rp00YZMmSI8sorryhnzpzJcvsz0yRH+rgf+VrUrVar8uGHHypz587N8Pl///2nvPTSS8rZs2eVW7duKa1atcryybNarUqfPn2UESNGKP/++6/DfWjH8NRTTykRERG2zw8fPqy0bNnSIfZHjx6tDB48WNm6davtAjt8+LDy8ssvKydOnFAUJeONlBUf48ePV7766ivl999/t9n877//HOLDarUq48aNU4YMGaKsX7/edh4cZV/D/vvVHiCHDx9W5syZYxMCRVFsD/dHwWq1Kp9//rny6aefKt99951y+vRpm/2WLVs65BjmzJmjHDhwIMMD3JH2c/oYrFarMnbsWGX48OHKli1bMhyDo77nqVOnKgMGDFBiY2Mz2G/RooUSERGhJCcnK+Hh4cqtW7eyfAz30iRH+XgQ+Xrh6e7du/P000/Tu3dvVq1ahZeXF87Ozhw9epRKlSpRv359AMxmc5arHwYNGkS5cuVo3Lgxe/bsoUyZMkiSxIEDB6hcuXK2fMiyzIABA6hQoQJms5mqVatSr149YmNjmTlzJvXq1cv2MXz00UeEhIRQuXJlZsyYwZQpU/D09GTu3LlUq1bNZj87fPDBB5QuXZq6dety7Ngxbty4QYsWLdi3bx/Vq1fPto+PP/6Y4sWLU7VqVf777z/MZjP169fnyJEjVK1a1SHHsG3bNpYsWcKbb75J3bp1ATh37hyffPIJn3/+OQ0aNMiW/b59+1K6dGmef/55Vq1aRYMGDWjYsCETJ06kfv36DjmGtm3bUr58ed544w0qVqyIxWJh8uTJNGjQwCH2c/oYPv74Y0JDQ6lUqRIzZ85k6tSpmEwmFi5c6LDv+euvv2b//v2ULVuWIUOGYDabmTt3LjVq1HCI/YfVpJwk31a/REREULp0acqUKUOvXr0IDg5GkiRSUlJo1qyZ7eQpipJlQQcoUqQIderUYebMmXh4eHDmzBl0Oh2NGzfOto9Fixbh6elJt27dmD59Ops2baJevXp4eXnRrVs3fHx8smU/OTkZV1dXW7ndqlWrmDlzJgEBAZQuXdohF1hycjLOzs707t0bk8mEm5sbP/74I0eOHOGVV17JVsUAqHPDFCpUiF69euHs7EyxYsXYtWsXx48fp3nz5rZca3a5cOECly9fZsuWLSQkJPDcc88hSRKjRo3iqaeeypZtbXBMnz59APDx8WHjxo00bNiQHj162EohFUXJUj291WolPDwcZ2dnjEYjf/zxB5Ik8dRTT9GrV69sl8hpx6AoSo4eg8Fg4MMPP8TJyYnp06czdepUPD09HSKGVqsVvV5PqVKlCA4OxmAw0L9/f0qUKMFbb72V5Soyex5Wk3KafNtR6u/vT61atZgxYwb16tVj8ODBvP/++wQGBto6Z7J6gdmj0+kYPHgwlSpVYtCgQXTv3h0fHx9b50Z2fHTq1Mk2YKVNmzZERUXZZp3TBB2yPuLSxcUFX19fxowZQ7du3YiJiaFZs2aYzWYiIiJs7c8OLi4umEwmPvvsM0AdWOTv78/Jkycd0lmp1+uJj4/nk08+AdQOsxo1anDixAmHdjAZjUbefPNNqlevzp49e9i2bRslS5bkqaeeyvY0D05OTnh4eHD69GkAChUqhJeXF6A+TMLCwoCsf886nY4iRYowcOBAhg8fjrOzM6tXr+bo0aM4Oztnq+32xxASEsKJEydy5Bj0ej0lS5YkMjKS8+fPU7JkSV566SV0Op1tfp3sXKtauzw8PChatCiBgYEcOHCAs2fPZqsz2p6H1aScJl9F6rIsM2jQIIoUKQKokytplSig9lgrisL58+eBrF1g9j70ej3du3cnMjKSmTNn0rlzZ4KDg1EUhWPHjtGiRYts2TebzfTq1QsPDw9cXV0JCgri8uXLlC9fHlmWs1RBY2/fYDDQt29frly5wsSJExk7diyBgYEcPXrUIeeocOHCGI1G+vXrx48//kjPnj2Jj4/n+++/Z8WKFVy6dCnLkfSUKVMoUqQIbdu2ZcKECXz22WcMGjSIsWPHUqlSJQIDAzl+/DiVKlXKkn3NR1BQEG3atKFdu3ZYrVZSU1NJSEhg9+7dJCcn88ILL2S5ksn+GEaOHGn7PC4ujgoVKrB3715mz57NqFGjHtm29h0ULVqU1NRUevXqRdWqVQH48MMPmTJlCosWLeKNN97I8jm683vu1asXbm5uDj+GwoULYzAY6Nq1K+7u7iiKwsSJEwE4cOAA586dy1b7ixYtSkpKCj179iQwMJBvv/3WNmL78uXLTJw4kQEDBmRpcrnc0KRHJV9F6oMHD6Zw4cK0atWK1NRU3nrrLRo1akS9evUYPXo0Cxcu5O+//+bFF190iI+kpCS6du1Kr169qFmzJh07duT7779n27ZtvPrqq8Cjf0n29nU6HW+//TYxMTG4u7vToEEDhgwZwr///ptlIbG3n5iYSOfOnfH396dQoUJ8/PHHLFu2jC1bttgmHMuOj9atW5OUlMRHH33E4MGD+d///kfbtm05duwYv/32m22QTlY4d+4ca9asYdWqVQCMHDkSs9lMt27dmDdvHjt37rTlvrPjY9WqVaxZswaTyYSrqys+Pj48++yzhISEcPz4cRITE7N9DKtXr87wudFoZO7cucyaNYvPPvssS4OjtO+gZcuWALz11lu26Yx1Oh29evUiJCQkWwPs7L/n5ORkunTpYpuXRJIkhx1D69atSUlJsdmXJIlp06bZrlVtJGdW77WWLVsiSRLvvvsuHh4ehISE0LNnT9q0aUObNm3o2bNnlmcLzQ1NemRypPs1h/jqq68yVCh8/fXXSpcuXRSLxaJMnjxZWbRokW2QgqN8TJgwQXn33XcVWZaVdevWKX/88Ydt0IMj7E+cOFHp1KmTrbpi06ZNDrU/YcIEpVu3bkpycrIyb948Zc6cOQ4/R+PHj1e6dOmipKamKuvWrVMmTZqknDp1Ksv2w8LClK5duyqrV69WPv/88wwDxhYuXKisXr0628dwp49Vq1Zl+PutW7eyNajlfva/+eYbpVq1asrly5ezbD+z66hz585KQkJClm0+jI9OnTopqampytSpU3PsGNLS0pTZs2cr8+bNy9b3nJn9du3aOXRQVG5o0qOSL0TdarUqVqtVmTp1qjJ79mwlMTHR9revvvpK2blzZ476GDlypLJ9+/Ycsz9mzBhlw4YNOWb/q6++Uv7+++9s2X+Qj1GjRtnOUVZK/u5ky5Ytyo0bN5RNmzYpn3zyicNGAt/Px5o1a3LUvibsqampWRbDB11HmzZtyna7H+Z7zqlj+Oqrr5QdO3bkWPvHjRunbN68WVGU7Jd35rQmZZV8kX7R6XTodDqef/55du3axdq1a20LH7i6ujpk6bL7+XBzc8v2ohr3s28ymYiOjs4x+66urrYls3LKh4uLi+0cZafaSOuUfPbZZwkMDKROnTq0bt2aP//802Er3NzLx9q1ax3i4172//jjD9auXYuTk1OW54p50HXkiIUWHvQ9X79+PceOwdXV1bbkZE6032g0EhkZCWQvv50bmpRV8kVHqSzLWK1WSpUqRbdu3fjll1+4cuUKaWlp/Pfff7Z5uvOyj/xuP7eOQUObRMvNzY2aNWui1+spXbp0No8g533ktH2r1Yosyzn6Pee0j/xuP7d8ZJU8OfhIlmUWLlxIsWLFCA4Ots2v8e+//7Jnzx4aNGhAcnIyZ8+epXHjxhQrVizP+cjv9h/nMRw6dIjff/+d999/39YBp2SxdDSnfeSG/aVLl1K4cGECAgJs8wHt37+fvXv3Oux7zkkf+d1+bvlwFHlO1BVFoX///jg5OVG4cGHi4uL44osviIqK4v333+fDDz+kSZMmedpHfrefF47h448/5plnnsnRY8iuj9yw/+mnn+Lj40PZsmVZsGABQ4YMoWbNmrRr185h33NO+sjv9nPLh0PJ3RT+g9mzZ4/y7rvvKoqiKDdv3lT69Omj7Nu3T/n777+VtLQ0RVEyTlaUF33kd/t56RiyQ077yE37iqIoM2bMUJ5//nll165dSkxMjM1+XvaR3+3nlg9Hkuc6SgMDAwkODmbOnDlMnTqVK1eucPz4cT744IMMBfzZ6eTIaR/53X5eOobskNM+ctq+n58fhQoVsnVAV69enSZNmthWtpdlOdvfc077yO/2c8uHI8kTHaWKorBz504aNmxIcHAwbdu2ZceOHRw6dIhffvkFFxcXIiMjSU5OzrM+8rt9cQx5z35oaCiSJDF58mR8fHw4dOgQgwYNYsuWLbi4uGRrQfOc9JHf7eeWjxzjsbwf3EFYWJhSrlw5Ze3atbbPjh8/rvTr1085e/assnLlSuXVV19Vrl69mmd95Hf74hjylv3ff/9dURS1pn379u3Khg0blL///lvZs2eP8tZbb2Vr2tac9pHf7eeWj5wiT0Tq4eHhFC5cmIkTJ5KcnMxrr71GqVKlcHFxYeXKlRw/fpyvv/6aoKCgPOsjv9sXx5C37E+aNImkpCTat29Po0aNOH/+PLt372b58uVMmDABX1/fLNnPDR/53X5u+cgxHvdTRVHUCeSPHz+unD9/XmnWrJmyZMkSRVEUJS0tTZFlOcMCBXnVR363L44hb9pfvny5oijqCMakpCQlKioqW/Zzw0d+t59bPnKKxyLqsiwrc+bMUbZu3WpbPUVb9UdbhWTBggV52kd+ty+OIf/YX7hwYZbt54aP/G4/t3zkFrlep64oCj179iQkJASj0UhqaiplypThjTfesG1z8OBBRo4cyfz587O8qGxO+sjv9sUx5E/77u7uj1xhkdM+8rv93PKRq+T2U+Tq1avKwIEDFUVRF4Ddt2+fMnjwYNvrjVbrmZKSkmd95Hf74hieDPsF4RgKwjnKbXKto1SWZbZt28bFixdJTk4mPDzcNtw2MTGRf/75h/j4eNvSW1mZFCqnfeR3++IYngz7BeEYCsI5elzkSoGloij07t2bv//+m+3bt/Pnn3/Ss2dPbt68ibu7O3Xr1iUsLIzo6Gjba01WXqFy0kd+ty+O4cmwXxCOoSCco8dJrkTq8+bNw9fXl6FDh2K1WpkwYQJ6vZ633nqL8ePHc/HiReLi4rK1nmJO+8jv9sUxPBn2C8IxFIRz9DjJFVEPDg4mJiaGlJQUYmJiOHHiBPPnz6dChQps3ryZa9eu8eWXXxIQEJBnfeR3++IYngz7BeEYCsI5epzkiqjXqFGDSpUq4ezsjF6vt60C7+LiQmBgIB9//HGW1wjMLR/53b44hifDfkE4hoJwjh4nuZJT9/X1ta227eLiQtWqVdm0aRM///wztWvXdsjJy2kf+d2+OIYnw35BOIaCcI4eK7ldbnP9+nWlXLlySocOHbK1wPLj9JHf7eeGD3EMj99+bvjI7/Zzy0dukuuinpSUpHzyySc5evJy2kd+t58bPsQxPH77ueEjv9vPLR+5yWNZ+chsNud4zWdO+8jv9nPDhziGx28/N3zkd/u55SO3yHPL2QkEAoEg6+Sx2d0FAoFAkB2EqAsEAkEBQoi6QCAQFCCEqAsEAkEBQoi6QCAQFCCEqAsEAkEB4v+n+5F2xx7IyQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Results of Dickey-Fuller Test:\n",
      "adf                    -1.604511e+01\n",
      "pvalue                  5.856371e-29\n",
      "usedlag                 0.000000e+00\n",
      "nobs                    2.500000e+02\n",
      "Critical Value (1%)    -3.456781e+00\n",
      "Critical Value (5%)    -2.873172e+00\n",
      "Critical Value (10%)   -2.572969e+00\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "ts1= ts.diff().dropna() #一阶差分再进行ADF检验\n",
    "test_stationarity(ts1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style(\"darkgrid\")\n",
    "plt.figure(figsize = (15,9))\n",
    "plt.plot(ts1)\n",
    "plt.xticks(range(0,data.shape[0],20), data.index[::20], rotation=45)\n",
    "plt.title(\"FaceBook Stock Price\",fontsize=18, fontweight='bold')\n",
    "plt.xlabel('Date',fontsize=18)\n",
    "plt.ylabel('Close Price (USD)',fontsize=18)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 特征工程"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Close</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-05-24</th>\n",
       "      <td>-0.970001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-05-25</th>\n",
       "      <td>-1.009995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-05-29</th>\n",
       "      <td>0.820007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-05-30</th>\n",
       "      <td>1.929993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-05-31</th>\n",
       "      <td>4.110001</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Close\n",
       "Date                \n",
       "2018-05-24 -0.970001\n",
       "2018-05-25 -1.009995\n",
       "2018-05-29  0.820007\n",
       "2018-05-30  1.929993\n",
       "2018-05-31  4.110001"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "price = data[['Close']].diff().dropna()\n",
    "price.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import MinMaxScaler\n",
    "\n",
    "scaler = MinMaxScaler(feature_range=(-1, 1))\n",
    "price['Close'] = scaler.fit_transform(price['Close'].values.reshape(-1,1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(251, 1)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "price.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 数据集划分"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "def split_data(stock, lookback):\n",
    "    data_raw = stock.to_numpy() \n",
    "    data = []\n",
    "    \n",
    "    # you can free play（seq_length）\n",
    "    for index in range(len(data_raw) - lookback): \n",
    "        data.append(data_raw[index: index + lookback])\n",
    "    \n",
    "    data = np.array(data);\n",
    "    test_set_size = int(np.round(0.2 * data.shape[0]))\n",
    "    train_set_size = data.shape[0] - (test_set_size)\n",
    "    \n",
    "    x_train = data[:train_set_size,:-1,:]\n",
    "    y_train = data[:train_set_size,-1,0:1]\n",
    "    \n",
    "    x_test = data[train_set_size:,:-1,:]\n",
    "    y_test = data[train_set_size:,-1,0:1]\n",
    "    \n",
    "    return [x_train, y_train, x_test, y_test]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "x_train.shape =  (185, 19, 1)\n",
      "y_train.shape =  (185, 1)\n",
      "x_test.shape =  (46, 19, 1)\n",
      "y_test.shape =  (46, 1)\n"
     ]
    }
   ],
   "source": [
    "lookback = 20\n",
    "x_train, y_train, x_test, y_test = split_data(price, lookback)\n",
    "print('x_train.shape = ',x_train.shape)\n",
    "print('y_train.shape = ',y_train.shape)\n",
    "print('x_test.shape = ',x_test.shape)\n",
    "print('y_test.shape = ',y_test.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "注意：pytorch的nn.LSTM input shape=(seq_length, batch_size, input_size)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 4. 模型构建 —— LSTM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "import torch.nn as nn\n",
    "\n",
    "x_train = torch.from_numpy(x_train).type(torch.Tensor)\n",
    "x_test = torch.from_numpy(x_test).type(torch.Tensor)\n",
    "y_train_lstm = torch.from_numpy(y_train).type(torch.Tensor)\n",
    "y_test_lstm = torch.from_numpy(y_test).type(torch.Tensor)\n",
    "y_train_gru = torch.from_numpy(y_train).type(torch.Tensor)\n",
    "y_test_gru = torch.from_numpy(y_test).type(torch.Tensor)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "input_dim = 1\n",
    "hidden_dim = 32\n",
    "num_layers = 2\n",
    "output_dim = 1\n",
    "num_epochs = 60"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "https://pytorch.org/docs/stable/generated/torch.nn.LSTM.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "class LSTM(nn.Module):\n",
    "    def __init__(self, input_dim, hidden_dim, num_layers, output_dim):\n",
    "        super(LSTM, self).__init__()\n",
    "        self.hidden_dim = hidden_dim\n",
    "        self.num_layers = num_layers\n",
    "        \n",
    "        self.lstm = nn.LSTM(input_dim, hidden_dim, num_layers, batch_first=True)\n",
    "        self.fc = nn.Linear(hidden_dim, output_dim)\n",
    "\n",
    "    def forward(self, x):\n",
    "        h0 = torch.zeros(self.num_layers, x.size(0), self.hidden_dim).requires_grad_()\n",
    "        c0 = torch.zeros(self.num_layers, x.size(0), self.hidden_dim).requires_grad_()\n",
    "        out, (hn, cn) = self.lstm(x, (h0.detach(), c0.detach()))\n",
    "        out = self.fc(out[:, -1, :]) \n",
    "        return out"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = LSTM(input_dim=input_dim, hidden_dim=hidden_dim, output_dim=output_dim, num_layers=num_layers)\n",
    "criterion = torch.nn.MSELoss()\n",
    "optimiser = torch.optim.Adam(model.parameters(), lr=0.01)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 5. 模型训练"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch  0 MSE:  0.29501456022262573\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\application\\Anaconda3\\envs\\torch\\lib\\site-packages\\torch\\autograd\\__init__.py:132: UserWarning: CUDA initialization: The NVIDIA driver on your system is too old (found version 10020). Please update your GPU driver by downloading and installing a new version from the URL: http://www.nvidia.com/Download/index.aspx Alternatively, go to: https://pytorch.org to install a PyTorch version that has been compiled with your version of the CUDA driver. (Triggered internally at  ..\\c10\\cuda\\CUDAFunctions.cpp:100.)\n",
      "  allow_unreachable=True)  # allow_unreachable flag\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch  1 MSE:  0.1534394472837448\n",
      "Epoch  2 MSE:  0.05171261355280876\n",
      "Epoch  3 MSE:  0.05615638196468353\n",
      "Epoch  4 MSE:  0.03974310681223869\n",
      "Epoch  5 MSE:  0.024545257911086082\n",
      "Epoch  6 MSE:  0.027554774656891823\n",
      "Epoch  7 MSE:  0.0322849415242672\n",
      "Epoch  8 MSE:  0.033294666558504105\n",
      "Epoch  9 MSE:  0.0310786385089159\n",
      "Epoch  10 MSE:  0.027681950479745865\n",
      "Epoch  11 MSE:  0.02505313791334629\n",
      "Epoch  12 MSE:  0.024336816743016243\n",
      "Epoch  13 MSE:  0.025433985516428947\n",
      "Epoch  14 MSE:  0.02708473801612854\n",
      "Epoch  15 MSE:  0.02784450352191925\n",
      "Epoch  16 MSE:  0.027247309684753418\n",
      "Epoch  17 MSE:  0.025918109342455864\n",
      "Epoch  18 MSE:  0.024768948554992676\n",
      "Epoch  19 MSE:  0.02430710382759571\n",
      "Epoch  20 MSE:  0.02450583130121231\n",
      "Epoch  21 MSE:  0.02503015100955963\n",
      "Epoch  22 MSE:  0.025507839396595955\n",
      "Epoch  23 MSE:  0.02569769322872162\n",
      "Epoch  24 MSE:  0.02554287761449814\n",
      "Epoch  25 MSE:  0.025144821032881737\n",
      "Epoch  26 MSE:  0.02469288371503353\n",
      "Epoch  27 MSE:  0.024376029148697853\n",
      "Epoch  28 MSE:  0.024301208555698395\n",
      "Epoch  29 MSE:  0.024448147043585777\n",
      "Epoch  30 MSE:  0.02468671277165413\n",
      "Epoch  31 MSE:  0.024855392053723335\n",
      "Epoch  32 MSE:  0.024856291711330414\n",
      "Epoch  33 MSE:  0.02470310777425766\n",
      "Epoch  34 MSE:  0.02449382282793522\n",
      "Epoch  35 MSE:  0.024338005110621452\n",
      "Epoch  36 MSE:  0.024294249713420868\n",
      "Epoch  37 MSE:  0.024351507425308228\n",
      "Epoch  38 MSE:  0.024451466277241707\n",
      "Epoch  39 MSE:  0.024528026580810547\n",
      "Epoch  40 MSE:  0.02454042248427868\n",
      "Epoch  41 MSE:  0.024487314745783806\n",
      "Epoch  42 MSE:  0.024400442838668823\n",
      "Epoch  43 MSE:  0.02432423084974289\n",
      "Epoch  44 MSE:  0.024291856214404106\n",
      "Epoch  45 MSE:  0.024309132248163223\n",
      "Epoch  46 MSE:  0.024354292079806328\n",
      "Epoch  47 MSE:  0.02439330518245697\n",
      "Epoch  48 MSE:  0.024401122704148293\n",
      "Epoch  49 MSE:  0.024375203996896744\n",
      "Epoch  50 MSE:  0.024333491921424866\n",
      "Epoch  51 MSE:  0.024300159886479378\n",
      "Epoch  52 MSE:  0.024290259927511215\n",
      "Epoch  53 MSE:  0.024302735924720764\n",
      "Epoch  54 MSE:  0.02432420291006565\n",
      "Epoch  55 MSE:  0.024338889867067337\n",
      "Epoch  56 MSE:  0.024337874725461006\n",
      "Epoch  57 MSE:  0.02432291768491268\n",
      "Epoch  58 MSE:  0.02430364489555359\n",
      "Epoch  59 MSE:  0.02429082803428173\n",
      "Training time: 2.76261305809021\n"
     ]
    }
   ],
   "source": [
    "import time\n",
    "\n",
    "hist = np.zeros(num_epochs)\n",
    "start_time = time.time()\n",
    "lstm = []\n",
    "\n",
    "for t in range(num_epochs):\n",
    "    y_train_pred = model(x_train)\n",
    "\n",
    "    loss = criterion(y_train_pred, y_train_lstm)\n",
    "    print(\"Epoch \", t, \"MSE: \", loss.item())\n",
    "    hist[t] = loss.item()\n",
    "\n",
    "    optimiser.zero_grad()\n",
    "    loss.backward()\n",
    "    optimiser.step()\n",
    "    \n",
    "training_time = time.time()-start_time\n",
    "print(\"Training time: {}\".format(training_time))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 6. 模型结果可视化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_train_pred_inv = scaler.inverse_transform(y_train_pred.detach().numpy())\n",
    "y_train_lstm_inv = scaler.inverse_transform(y_train_lstm.detach().numpy())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(252, 1)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_label = np.expand_dims(data['Close'], 1)\n",
    "y_label.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 这里有点问题：注意从 lookback 位置开始还是从 lookback-1 位置开始？\n",
    "y_train_pred_inv += y_label[20:205]\n",
    "y_train_lstm_inv += y_label[20:205]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "predict = pd.DataFrame(y_train_pred_inv)\n",
    "original = pd.DataFrame(y_train_lstm_inv)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "sns.set_style(\"darkgrid\")    \n",
    "\n",
    "fig = plt.figure()\n",
    "fig.subplots_adjust(hspace=0.2, wspace=0.2)\n",
    "\n",
    "plt.subplot(1, 2, 1)\n",
    "ax = sns.lineplot(x = original.index, y = original[0], label=\"Real Label\", color='royalblue')\n",
    "ax = sns.lineplot(x = predict.index, y = predict[0], label=\"Training Prediction (LSTM)\", color='tomato')\n",
    "ax.set_title('Stock price', size = 14, fontweight='bold')\n",
    "ax.set_xlabel(\"Days\", size = 14)\n",
    "ax.set_ylabel(\"Cost (USD)\", size = 14)\n",
    "ax.set_xticklabels('', size=10)\n",
    "\n",
    "\n",
    "plt.subplot(1, 2, 2)\n",
    "ax = sns.lineplot(data=hist, color='royalblue')\n",
    "ax.set_xlabel(\"Epoch\", size = 14)\n",
    "ax.set_ylabel(\"Loss\", size = 14)\n",
    "ax.set_title(\"Training Loss\", size = 14, fontweight='bold')\n",
    "fig.set_figheight(6)\n",
    "fig.set_figwidth(16)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
